|
527: Computational Biology, Email Log |
|
 CSE Home |
About Us |
Search |
Contact Info |
Below is a log of all email sent to the class mailing list cse527@cs.washington.edu. Feel free to use it to ask questions, post information, or initiate discussions of general interest to the class.
Administrative requests concerning the mailing list itself, such as add/delete/address change requests, should be addressed to majordomo@cs.washington.edu.
Date: Fri, 12 Oct 2001 13:31:13 -0700 (PDT) From: Jochen Jaeger <jj@cs.washington.edu> To: cse527@cs.washington.edu, baek@u.washington.edu, lkim@u.washington.edu, pmork@cs.washington.edu, shefner@u.washington.edu, Saurabh Sinha <saurabh@cs.washington.edu>, tjaden@cs.washington.edu, yanhan@u.washington.edu, yzizhen@u.washington.edu Subject: CSE527 TA Hello, finally CSE527 has a TA, yeah ;) My name is JJ and I am a 2nd year CSE (computer science and engineering) and CMB (computational molecular biology) student. The office hours will be on Thursdays at 2:30 in 429 Sieg Hall or in one of the cubicles on the 4th floor in Sieg Hall. If this is not a good time please email me and I will move it. Bu we can of course also make other appointments by email. It would be great if all of you could subscribe to our mailing list. Simply write mail to: majordomo@cs.washington.edu with the body: subscribe cse527 Future emails will only be on that list but you can always access our list online at: http://www.cs.washington.edu/education/courses/527/01au/bboard.html I thought about putting up the lecture notes on the web but would need some help from your side. If you can provide me with TeX, Word or other electronic notes from the lectures I will do my best, format it and put it online. So please email me, the more we have the better it will be ;) cu, Jj
Date: Wed, 07 Nov 2001 17:50:09 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: Re: Today's lecture (11/6) References: <20011107070841.45072.qmail@web14205.mail.yahoo.com> > Okay, I was pretty much lost in the > math in today's lecture. I'm not sure > if this was due to a general insufficient > stats background or the specifics of > the lecture. Did you present from a paper > or were these just your notes? If > it's the former, can you send me the > reference? I'm sure you weren't alone. that was the most technical lecture so far. Unfortunately, it was drawn from several sources: * basics on sample spaces, conditional probability, Bayes rule, "prior" vs "posterior" probabilities via Bayes rule, expectation, linearity of expectation, basics of the maximum likelihood method of parameter estimation -- I happened to draw from a book called something like intro to mathematical stats by Hogg & Craig, but most any good stats book will have this. * plain max-likelihood estimation (mle) lets you answer a question like "given X1, X2, ..., a sample from a normal (say) distribution with unknown parameters like mean and/or variance, what values of those parameters maximize the likelihood that I would observe the data I actually did observe." E.g., in the model-based clustering context, *IF* you knew which clusters each point belonged to, it gives a way to estimate the parameters defining each cluster. * The Bayes rule stuff is used to answer a complementary question: *IF* you knew the parameters for each cluster, what are the odds that each given data point belongs to each cluster. * This suggests a heuristic algorithm for clustering (or, more generally, for max likelihood parameter estimation in the face of hidden data): alternate the above two steps, (called the M step and E step, resp.) and hope it converges to a good estimate. That's the EM algorithm. For the particular case of 2 normals in one dimension with common variance, I was following the development in Mitchell's book on Machine Learning. * It's not obvious that this is a good idea -- do the parameter estimates get better with every step, or usually, or sometimes? So the last 10-15 minutes of what I talked about was a proof that the EM algorithm has the property that the revised parameter estimates after an E-step/M-step pair as above never result in a decrease in likelihood. (I.e., it's a "hill climbing" method. If you always go up hill, you'll eventually find a hilltop, but maybe not the highest hilltop around.) This (non-decreasing likelihood from an E/M pair) is true in general, i.e. for most any sort parameter estimation problem with hidden variables, not just the clustering problem we've been looking at. The proof I showed came from the comp bio book by Durbin, Eddy, Krogh & Michison; I forget the title. EM is usually attributed to Dempster, Laird, & Rubin, 1977 (online at http://links.jstor.org/sici?sici=0035-9246%281977%2939%3C1%3AMLFIDV%3E2.0.CO%3B2-X ), but seemingly had appeared many times in various forms, at least as early as the 1890's, where I understanbd it was used for some form of "model-based clustering" of astronomical data. I don't know how readable the Dempster paper is, but again this is a technique taht's widely used, so probably there are other texts that describe it. If any of you know of other good expositions, please let us know. I hope this helps. Ask more questions if not.
Date: Wed, 28 Nov 2001 08:55:52 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: [Fwd: viterbi.xls] This is a multi-part message in MIME format. --------------45B1E7C2AACD2C6B0815203D Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit for your amusement, there's a (not very pretty) excel spreadsheet attached that does the Viterbi calculation for the loaded dice example I gave yesterday. --------------45B1E7C2AACD2C6B0815203D Content-Type: message/rfc822 Content-Transfer-Encoding: 7bit Content-Disposition: inline Return-Path: <ruzzo@cs.washington.edu> Received: from cs.washington.edu (ruzzo-pc.cs.washington.edu [128.95.3.251]) (authenticated bits=0) by june.cs.washington.edu (8.12.1/8.12.1/0.5) with ESMTP id fARNR44Y096863 (version=TLSv1/SSLv3 cipher=RC4-MD5 bits=128 verify=NOT) for <ruzzo@cs.washington.edu>; Tue, 27 Nov 2001 15:27:04 -0800 (PST) Message-ID: <3C042148.C724F220@cs.washington.edu> Date: Tue, 27 Nov 2001 15:27:04 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> X-Mailer: Mozilla 4.78 [en] (WinNT; U) X-Accept-Language: en MIME-Version: 1.0 To: ruzzo@cs.washington.edu Subject: viterbi.xls Content-Type: multipart/mixed; boundary="------------2A8253DE1FDB961D2B7FB857" This is a multi-part message in MIME format. --------------2A8253DE1FDB961D2B7FB857 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit --------------2A8253DE1FDB961D2B7FB857 Content-Type: application/msexcel; name="viterbi.xls" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="viterbi.xls" 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAABAAAAKQAAAAAA AAAAEAAA/v///wAAAAD+////AAAAACgAAAD///////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////8JCBAAAAYFAO0ezQfBQAAABgEAAOEAAgCwBMEA AgAAAOIAAABcAHAADwAAV2FsdGVyIEwuIFJ1enpvICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAg ICAgICAgICAgICAgICAgIEIAAgCwBGEBAgAAAMABAAA9AQYAAQACAAMAnAACAA4AGQACAAAA EgACAAAAEwACAAAArwECAAAAvAECAAAAPQASAHgAPABMO4EkOAAAAAAAAQBYAkAAAgAAAI0A AgAAACIAAgAAAA4AAgABALcBAgAAANoAAgAAADEAGgDIAAAA/3+QAQAAAAAAAAUBQQByAGkA YQBsADEAGgDIAAAA/3+QAQAAAAAAAAUBQQByAGkAYQBsADEAGgDIAAAA/3+QAQAAAAAAAAUB QQByAGkAYQBsADEAGgDIAAAA/3+QAQAAAAAAAAUBQQByAGkAYQBsADEAGgDIAAEA/3+8AgAA AAIAAAUBQQByAGkAYQBsAB4EHAAFABcAACIkIiMsIyMwXyk7XCgiJCIjLCMjMFwpHgQhAAYA HAAAIiQiIywjIzBfKTtbUmVkXVwoIiQiIywjIzBcKR4EIgAHAB0AACIkIiMsIyMwLjAwXyk7 XCgiJCIjLCMjMC4wMFwpHgQnAAgAIgAAIiQiIywjIzAuMDBfKTtbUmVkXVwoIiQiIywjIzAu MDBcKR4ENwAqADIAAF8oIiQiKiAjLCMjMF8pO18oIiQiKiBcKCMsIyMwXCk7XygiJCIqICIt Il8pO18oQF8pHgQuACkAKQAAXygqICMsIyMwXyk7XygqIFwoIywjIzBcKTtfKCogIi0iXyk7 XyhAXykeBD8ALAA6AABfKCIkIiogIywjIzAuMDBfKTtfKCIkIiogXCgjLCMjMC4wMFwpO18o IiQiKiAiLSI/P18pO18oQF8pHgQ2ACsAMQAAXygqICMsIyMwLjAwXyk7XygqIFwoIywjIzAu MDBcKTtfKCogIi0iPz9fKTtfKEBfKR4EDQCkAAgAAG0vZC95eXl54AAUAAAAAAD1/yAAAAAA AAAAAAAAAMAg4AAUAAEAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAEAAAD1/yAAAPQAAAAAAAAA AMAg4AAUAAIAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAIAAAD1/yAAAPQAAAAAAAAAAMAg4AAU AAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1 /yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQA AAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAA AMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAU AAAAAAD1/yAAAPQAAAAAAAAAAMAg4AAUAAAAAAABACAAAAAAAAAAAAAAAMAg4AAUAAEAKwD1 /yAAAPgAAAAAAAAAAMAg4AAUAAEAKQD1/yAAAPgAAAAAAAAAAMAg4AAUAAEALAD1/yAAAPgA AAAAAAAAAMAg4AAUAAEAKgD1/yAAAPgAAAAAAAAAAMAg4AAUAAEACQD1/yAAAPgAAAAAAAAA AMAg4AAUAAAAAAABACAAACAAEAAAACAAAMAg4AAUAAAAAAABACAAACABAUAAQAAAAMAg4AAU AAAAAAABACAAACAQAQAgQAAAAMAg4AAUAAAAAAABACAAACABEEAAACAAAMAg4AAUAAAAAAAB ACAAACAQEAAgACAAAMAg4AAUAAAAEAABACAAACQBAUAAQAAAAMAg4AAUAAAAEAABACAAACQA AQAAQAAAAMAg4AAUAAAAEAABACAAACQQAQAgQAAAAMAg4AAUAAAAAAABACAAACABAEAAAAAA AMAg4AAUAAUAAAABACAAAAgAAAAAAAAAAMAg4AAUAAAAAAABACAAAGAAEAAAACAABBog4AAU AAAAAAABACAAAEAAAAAAAAAABBogkwIEABCAA/+TAgQAEYAG/5MCBAASgAT/kwIEABOAB/+T AgQAAIAA/5MCBAAUgAX/YAECAAAAhQAOAMYIAAAAAAYAU2hlZXQxhQAOAF0tAAAAAAYAU2hl ZXQyhQAOAGQuAAAAAAYAU2hlZXQzjAAEAAEAAQDBAQgAwQEAAGBpAQD8ANEBIQAAABYAAAAE AABmYWlyBgAAbG9hZGVkBwAAbGktMS9saQcAAGZpLTEvZmkJAABsb2coZmFpcikLAABsb2co bG9hZGVkKQQAAFAoMikEAABQKDMpBAAAUCg1KQQAAFAoNikEAABQKDEpBAAAIDEvNgUAACAx LzEwBQAAIDUvMTABAABpDAAAVklURVJCSSBESUNFPgAAVGhlICJvY2Nhc2lvbmFsbHkgZGlz aG9uZXN0IGNhc2lubyIgZXhhbXBsZSBmcm9tIER1cmJpbiBldCBhbC4sAAAoQ2FsY3VsYXRp b24gaXMgYWN0dWFsbHkgaW4gdGhlICJsb2ciIGNvbHMuKT0AAFJvbGwgYSBmYWlyIG9yIGxv YWRlZCBkaWUsIHdpdGggcHJvYnMgJiB0cmFuc2l0aW9ucyBhcyBiZWxvdy4LAABmYWlyL2xv YWRlZAYAAHJvbGwgaXQAAEhpZ2hsaWdodGVkICgiZmFpciIsICJsb2FkZWQiKSBjb2xzIGFy ZSB2ayhpKSBmb3Igc3RhdGUgayA9IGZhaXIsIGxvYWRlZDsgaSA9IHJvbGwgbnVtYmVyLCAg YXMgaW4gdml0ZXJiaSBhbGdvcml0aG0u/wAaAAgA2wYAAAwAAAAnBwAAWAAAAGYHAACXAAAA CgAAAAkIEAAABhAA7R7NB8FAAAAGAQAACwIYAAAAAAAAAAAAKAAAABwLAAC0JAAADi0AAA0A AgABAAwAAgBkAA8AAgABABEAAgAAABAACAD8qfHSTWJQP18AAgABACoAAgAAACsAAgAAAIIA AgABAIAACAAAAAAAAAAAACUCBAAAAP8AgQACAMEEFAAAABUAAACDAAIAAACEAAIAAABNAJIB AABcAFwAUgBGAEkATABFAFMAUgBWADEAXABwAHMANABFAFMAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAQQABNwAtAATVwEAAQABAOoKbwhkAAEADwBYAgEAAQAAAAMAAABMAGUA dAB0AGUAcgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAUFJJVuAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgAAAAAABAnECcQJwAA ECcAAAAAAAAAAD8ABwAAAAABAQD/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoQAiAAEAZAABAAEAAQACAFgCAAAAAAAAAADgPwAA AAAAAOA/AQBVAAIACAAAAg4AAAAAACgAAAAAAAkAAAAIAhAAAAAAAAkA/wAAAAAAAAEPAAgC EAABAAAACQD/AAAAAAAAAQ8ACAIQAAIAAAAJAP8AAAAAAAABDwAIAhAABAAAAAkA/wAAAAAA AAEPAAgCEAAFAAAACQD/AAAAAAAAAQ8ACAIQAAYAAAAJAP8AAAAAAAABDwAIAhAACAAAAAkA /wAAAAAAAAEPAAgCEAAJAAAACQD/AAAAAAAAAQ8ACAIQAAsAAAAJAP8AAAAAAAABDwAIAhAA DAAAAAkA/wAAAAAAAAEPAAgCEAANAAAACQD/AAAAAAAAAQ8ACAIQAA4AAAAJAP8AAAAAAAAB DwAIAhAADwAAAAkA/wAAAAAAAAEPAAgCEAAQAAAACQD/AAAAAAAAAQ8ACAIQABEAAAAJAP8A AAAAAAABDwAIAhAAEgAAAAkA/wAAAAAAAAEPAAgCEAATAAAACQD/AAAAAAAAAQ8ACAIQABQA AAAJAP8AAAAAAAABDwAIAhAAFQAAAAkA/wAAAAAAAAEPAAgCEAAWAAAACQD/AAAAAAAAAQ8A CAIQABcAAAAJAP8AAAAAAAABDwAIAhAAGAAAAAkA/wAAAAAAAAEPAAgCEAAZAAAACQD/AAAA AAAAAQ8ACAIQABoAAAAJAP8AAAAAAAABDwAIAhAAGwAAAAkA/wAAAAAAAAEPAAgCEAAcAAAA CQD/AAAAAAAAAQ8ACAIQAB0AAAAJAP8AAAAAAAABDwAIAhAAHgAAAAkA/wAAAAAAAAEPAAgC EAAfAAAACQD/AAAAAAAAAQ8A/QAKAAAAAAAeAA8AAAD9AAoAAQAAAA8AEAAAAP0ACgACAAAA DwASAAAAAQIGAAQAAAAVAP0ACgAEAAEAGAAAAAAA/QAKAAQAAgAVAAEAAAABAgYABAADABUA /QAKAAQABAAYAAoAAAD9AAoABAAFABUABgAAAP0ACgAEAAYAFQAHAAAA/QAKAAQABwAVAAkA AAD9AAoABAAIABUACAAAAP0ACgAFAAAADwAAAAAAfgIKAAUAAQAWAAHAV0AGAB8ABQACABcA oJmZmZmZqT8AAAYAAv8JAB4BAEQFAAHABP0ACgAFAAQAGgALAAAA/QAKAAUABQAbAAsAAAD9 AAoABQAGABsACwAAAP0ACgAFAAcAGwALAAAA/QAKAAUACAAcAAsAAAD9AAoABgAAAA8AAQAA AH4CCgAGAAEAGAABACRABgAfAAYAAgAZAM3MzMzMzOw/AAANAAP/CQAeAQBEBgABwAT9AAoA BgAEABgADAAAAP0ACgAGAAUAFQAMAAAA/QAKAAYABgAVAAwAAAD9AAoABgAHABUADAAAAP0A CgAGAAgAGQANAAAA/QAKAAgAAAAPABUAAAD9AAoACQAAAA8AEQAAAP0ACgALAAAAFQAOAAAA /QAKAAsAAQAYABQAAAD9AAoACwACABUABAAAAP0ACgALAAMAFQAFAAAA/QAKAAsABAAfAAAA AAD9AAoACwAFAB8AAQAAAP0ACgALAAYAFQADAAAA/QAKAAsABwAVAAIAAAD9AAoACwAIABUA EwAAAL0AEgAMAAAADwAAAPA/HQAAAPA/AQAGACEADAACAA8A/qd3c53m6L8AAAwAA/4LAB4B AB4GAAZCAW0ABgAhAAwAAwAPAAAAAAAAAPC/AAANAAL/CwAeAQAeCgAGQgFtAAYAHwAMAAQA IABUVVVVVVXFPwAADAAF/wkAHgoARAwAAsAHBgAfAAwABQAgAJqZmZmZmbk/AAAMAAj/CQAe CgBEDAADwAcGACEADAAIAA8Aqaqqqqqq+j8AAB8ABv8LAEQMAATARAwABcAGvQASAA0AAAAP AAAAAEAdAAAA8D8BAAYARAANAAIADwBuxaPx20H5vwAADQAE/y4AHgEAHgYABkIBbQBEDAAC wEQFAAEAQgFtAANEDAADwEQGAAEAQgFtAANCAgcAAwYAYgANAAMADwCACmwatl0AwAAADQAF /0wAH5qZmZmZmbk/H5qZmZmZmdk/JA0AAcAeBQBCAgcAHgUABBUFA0IBbQBEDAACwEQFAAIA QgFtAANEDAADwEQGAAIAQgFtAANCAgcAAwYAHwANAAQAIABUsAVbsAWbPwgABQAC/wkAHgoA RA0AAsAHBgAfAA0ABQAgADvfT42XboI/CAANAAj/CQAeCgBEDQADwAcGACEADQAGAA8AQERE RERExD8AAA0ACP0LAEQNAATARAwABMAGBgAhAA0ABwAPAAnXo3A9Crc/AAAOAAf/CwBEDQAF wEQMAAXABgYAGwANAAgADwD0YZEy8HQHQAgADgAC/wUAAQ0ACAC8BBUADQAnAAgIABsLAEwA APzATAAA/cAGvQASAA4AAAAPAAAACEAdAAAA8D8BAAYAGwAOAAIADwBu28WUNAgDwAgADgAE /wUAAQ4AAgC8BDgADgAeAAICABEuAB4BAB4GAAZCAW0ATP//AMBEBQABAEIBbQADTP//AcBE BgABAEIBbQADQgIHAAMGABsADgADAA8AARXYNGy7CMAIAA4ABf8FAAEOAAMAvARWAA4AHgAD AwARTAAfmpmZmZmZuT8fmpmZmZmZ2T8sAAD+wB4FAEICBwAeBQAEFQUDQgFtAEz////ARAUA AgBCAW0AA0z//wDARAYAAgBCAW0AA0ICBwADBgAbAA4ABAAgADh4YfUzHXE/CAAOAAP/BQAB DgAEALwEEwAOAB4ABAQAEQkAHgoATAAA/sAHBgAbAA4ABQAgANLQP8HFiko/CAAOAAj/BQAB DgAFALwEEwAOAB4ABQUAEQkAHgoATAAA/sAHBgAbAA4ABgAPAEhERERERMQ/CAAPAAb/BQAB DgAGALwEFQAOAB4ABgcAIgsATAAA/sBM///+wAYGABsADgAHAA8ADNejcD0Ktz8IAA8AB/8F AAEOAAYABgAbAA4ACAAPAAXi/yIfohRACAAPAAL/BQABDQAIAL0AEgAPAAAADwAAABBAHQAA APA/AQAGABsADwACAA8AJtS5MHtvCcAIAA8ABP8FAAEOAAIABgAbAA8AAwAPAMEPoieRjBDA CAAPAAX/BQABDgADAAYAGwAPAAQAIABMqa4Uhq1FPwgADwAD/wUAAQ4ABAAGABsADwAFACAA x9OodjwcEz8IAA8ACP8FAAEOAAUABgAbAA8ABgAPADlERERERMQ/CAAQAAb/BQABDgAGAAYA GwAPAAcADwAG16NwPQq3PwgAEAAH/wUAAQ4ABgAGABsADwAIAA8Ahwt0iU8mIkAIABAAAv8F AAENAAgAvQASABAAAAAPAAAAFEAdAAAA8D8BAAYAGwAQAAIADwDezK3MwdYPwAgAEAAE/wUA AQ4AAgAGABsAEAADAA8AARXYNGy7FMAIABAABf8FAAEOAAMABgAbABAABAAgAJ4JqpFldRs/ CAAQAAP/BQABDgAEAAYAGwAQAAUAIAAVtozy0YTbPggAEAAI/wUAAQ4ABQAGABsAEAAGAA8A P0RERERExD8IABEABv8FAAEOAAYABgAbABAABwAPAAvXo3A9Crc/CAARAAf/BQABDgAGAAYA GwAQAAgADwARc7SqEO4vQAgAEQAC/wUAAQ0ACAC9ABIAEQAAAA8AAAAYQB0AAADwPwEABgAb ABEAAgAPAMviUDQEHxPACAARAAT/BQABDgACAAYAGwARAAMADwBBGg5CR+oYwAgAEQAF/wUA AQ4AAwAGABsAEQAEACAAvrDrhvNj8T4IABEAA/8FAAEOAAQABgAbABEABQAgAIDp/j1F0KM+ CAARAAj/BQABDgAFAAYAGwARAAYADwBARERERETEPwgAEgAG/wUAAQ4ABgAGABsAEQAHAA8A C9ejcD0Ktz8IABIAB/8FAAEOAAYABgAbABEACAAPAI+nRF0mFjxACAASAAL/BQABDQAIAL0A EgASAAAADwAAABxAHQAAAPA/AQAGABsAEgACAA8AJ99KgqdSFsAIABIABP8FAAEOAAIABgAb ABIAAwAPAGraWmlFUxzACAASAAX/BQABDgADAAYAGwASAAQAIAD8AaJmIwfGPggAEgAD/wUA AQ4ABAAGABsAEgAFACAAWLkEZX9Cdj4IABIACP8FAAEOAAUABgAbABIABgAPAD9ERERERMQ/ CAATAAb/BQABDgAGAAYAGwASAAcADwDbLTYnsvnBPwgAEwAH/wUAAQ4ABgAGABsAEgAIAA8A iKqqqqqqP0AIABMAAv8FAAENAAgAvQASABMAAAAPAAAAIEAdAAAA8D8BAAYAGwATAAIADwCD 20TQSoYZwAgAEwAE/wUAAQ4AAgAGABsAEwADAA8AxtZUt+iGH8AIABMABf8FAAEOAAMABgAb ABMABAAgAPN5EZPo5ps+CAATAAP/BQABDgAEAAYAGwATAAUAIAASQErVGDJMPggAEwAI/wUA AQ4ABQAGABsAEwAGAA8AP0RERERExD8IABQABv8FAAEOAAYABgAbABMABwAPAD5ERERERMQ/ CAAUAAf/BQABDgAGAAYAGwATAAgADwCIqqqqqqo/QAgAFAAC/wUAAQ0ACAC9ABIAFAAAAA8A AAAiQB0AAADwPwEABgAbABQAAgAPAN/XPh7uuRzACAAUAAT/BQABDgACAAYAGwAUAAMADwCR aacCRl0hwAgAFAAF/wUAAQ4AAwAGABsAFAAEACAASd5XkNercT4IABQAA/8FAAEOAAQABgAb ABQABQAgAFwGryB22yE+CAAUAAj/BQABDgAFAAYAGwAUAAYADwBARERERETEPwgAFQAG/wUA AQ4ABgAGABsAFAAHAA8ALERERERExD8IABUAB/8FAAEOAAYABgAbABQACAAPAKeqqqqqqj9A CAAVAAL/BQABDQAIAL0AEgAVAAAADwAAACRAHQAAAPA/AQAGABsAFQACAA8AO9Q4bJHtH8AI ABUABP8FAAEOAAIABgAbABUAAwAPAL9npKkX9yLACAAVAAX/BQABDgADAAYAGwAVAAQAIACb Kk0uM2JGPggAFQAD/wUAAQ4ABAAGABsAFQAFACAAoaHMj4Se9j0IABUACP8FAAEOAAUABgAb ABUABgAPAD9ERERERMQ/CAAWAAb/BQABDgAGAAYAGwAVAAcADwA+RERERETEPwgAFgAH/wUA AQ4ABgAGABsAFQAIAA8AqKqqqqqqP0AIABYAAv8FAAENAAgAvQASABYAAAAPAAAAJkAdAAAA 8D8BAAYAGwAWAAIADwBLaBldmpAhwAgAFgAE/wUAAQ4AAgAGABsAFgADAA8A7WWhUOmQJMAI ABYABf8FAAEOAAMABgAbABYABAAgAFecP9RAWhw+CAAWAAP/BQABDgAEAAYAGwAWAAUAIABw iFjpp6bMPQgAFgAI/wUAAQ4ABQAGABsAFgAGAA8AP0RERERExD8IABcABv8FAAEOAAYABgAb ABYABwAPAEBERERERMQ/CAAXAAf/BQABDgAGAAYAGwAWAAgADwCoqqqqqqo/QAgAFwAC/wUA AQ0ACAC9ABIAFwAAAA8AAAAoQB0AAADwPwEABgAbABcAAgAPAHlmFgRsKiPACAAXAAT/BQAB DgACAAYAGwAXAAMADwAbZJ73uiomwAgAFwAF/wUAAQ4AAwAGABsAFwAEACAA7tGwyuT08T0I ABcAA/8FAAEOAAQABgAbABcABQAgAFRF6zVIJaI9CAAXAAj/BQABDgAFAAYAGwAXAAYADwA/ RERERETEPwgAGAAG/wUAAQ4ABgAGABsAFwAHAA8AQERERERExD8IABgAB/8FAAEOAAYABgAb ABcACAAPAKaqqqqqqj9ACAAYAAL/BQABDQAIAL0AEgAYAAAADwAAACpAHQAAABhAAQAGABsA GAACAA8Ap2QTqz3EJMAIABgABP8FAAEOAAIABgAbABgAAwAPABleIDmtXibACAAYAAX/BQAB DgADAAYAGwAYAAQAIAAWPSRnu77GPQgAGAAD/wUAAQ4ABAAGABsAGAAFACAAKYO0qge7nD0I ABgACP8FAAEOAAUABgAbABgABgAPAD9ERERERMQ/CAAZAAb/BQABDgAGAAYAGwAYAAcADwBi VVVVVVXpPwgAGQAH/wUAAQ4ABgAGABsAGAAIAA8APlVVVVVVGUAIABkAAv8FAAENAAgAvQAS ABkAAAAPAAAALEAdAAAAGEABAAYAGwAZAAIADwDVYhBSD14mwAgAGQAE/wUAAQ4AAgAGABsA GQADAA8AiVxAWjsQJ8AIABkABf8FAAEOAAMABgAbABkABAAgANHEC+l1z5w9CAAZAAP/BQAB DgAEAAYAGwAZAAUAIADUQm/mhtuJPQgAGQAI/wUAAQ4ABQAGABsAGQAGAA8AQERERERExD8I ABoABv8FAAEOAAYABgAbABkABwAPAMjMzMzMzNw/CAAaAAf/BQABDgAGAAYAGwAZAAgADwDV h0XKwNMBQAgAGgAC/wUAAQ0ACAC9ABIAGgAAAA8AAAAuQB0AAAAYQAEABgAbABoAAgAPAANh Dfng9yfACAAaAAT/BQABDgACAAYAGwAaAAMADwD5WmB7ycEnwAgAGgAF/wUAAQ4AAwAGABsA GgAEACAAGnSHAiA/cj0IABoAA/8FAAEOAAQABgAbABoABQAgALtVlwKTRXc9CAAaAAj/BQAB DgAFAAYAGwAaAAYADwBARERERETEPwgAGwAG/wUAAQ4ABgAGABsAGgAHAA8AyMzMzMzM3D8I ABsAB/8FAAEOAAYABgAbABoACAAPAOhDkVUPF+k/CAAbAAL/BQABDQAIAL0AEgAbAAAADwAA ADBAHQAAABhAAQAGABsAGwACAA8AMV8KoLKRKcAIABsABP8FAAEOAAIABgAbABsAAwAPAGlZ gJxXcyjACAAbAAX/BQABDgADAAYAGwAbAAQAIAC0PVYlwhxHPQgAGwAD/wUAAQ4ABAAGABsA GwAFACAA8ZnuG9HxZD0IABsACP8FAAEOAAUABgAbABsABgAPAD9ERERERMQ/CAAcAAb/BQAB DgAGAAYAGwAbAAcADwDHzMzMzMzcPwgAHAAH/wUAAQ4ABgAGABsAGwAIAA8AE5ioWO6n0T8I ABwAAv8FAAENAAgAvQASABwAAAAPAAAAMUAdAAAAGEABAAYAGwAcAAIADwBfXQdHhCsrwAgA HAAE/wUAAQ4AAgAGABsAHAADAA8A2VegveUkKcAIABwABf8FAAEOAAMABgAbABwABAAgAEJw oISPRh09CAAcAAP/BQABDgAEAAYAGwAcAAUAIACciiOZotlSPQgAHAAI/wUAAQ4ABQAGABsA HAAGAA8APkRERERExD8IAB0ABv8FAAEOAAYABgAbABwABwAPAOXMzMzMzNw/CAAdAAf/BQAB DgAGAAYAGwAcAAgADwDs1dBpYtm4PwgAHQAC/wUAAQ0ACAC9ABIAHQAAAA8AAAAyQB0AAAAY QAEABgAbAB0AAgAPAFnS15RPsyzACAAdAAT/BQABDgACAAYAGwAdAAMADwBJVsDec9YpwAgA HQAF/wUAAQ4AAwAGABsAHQAEACAA15PQGlgb9DwIAB0AA/8FAAEOAAQABgAbAB0ABQAgAL78 n1YS90A9CAAdAAj/BQABDgAFAAYAGwAdAAYADwDV1epbWvrFPwgAHgAG/wUAAQ4ABgAGABsA HQAHAA8AyszMzMzM3D8IAB4AB/8FAAEOAAYABgAbAB0ACAAPAGgvob2E9qI/CAAeAAL/BQAB DQAIAL0AEgAeAAAADwAAADNAHQAAABhAAQAGABsAHgACAA8AydD3td1kLcAIAB4ABP8FAAEO AAIABgAbAB4AAwAPALlU4P8BiCrACAAeAAX/BQABDgADAAYAGwAeAAQAIAC3HiIYnBjiPAgA HgAD/wUAAQ4ABAAGABsAHgAFACAAtpO5aIeJLj0IAB4ACP8FAAEOAAUABgAbAB4ABgAPAOXM zMzMzNw/CAANAAb/BQABDgAGAAYAGwAeAAcADwDHzMzMzMzcPwgADgAG/wUAAQ4ABgAGABsA HgAIAA8Aey+hvYT2oj8IAB8AAv8FAAENAAgAvQASAB8AAAAPAAAANEAdAAAAGEABAAYAGwAf AAIADwA5zxfXaxYuwAgAHwAE/wUAAR8AAgC8BDgAHwAnAAICAAkuAB4BAB4GAAZCAW0ATP// AMBEBQABAEIBbQADTP//AcBEBgABAEIBbQADQgIHAAMGABsAHwADAA8AKVMAIZA5K8AIAB8A Bf8FAAEfAAMAvARWAB8AJwADAwAJTAAfmpmZmZmZuT8fmpmZmZmZ2T8sAAD+wB4FAEICBwAe BQAEFQUDQgFtAEz////ARAUAAgBCAW0AA0z//wDARAYAAgBCAW0AA0ICBwADBgAbAB8ABAAg APiB60hZSdA8CAAfAAP/BQABHwAEALwEEwAfACcABAQACQkAHgoATAAA/sAHBgAbAB8ABQAg AG5rDavGexs9CAAfAAj/BQABHwAFALwEEwAfACcABQUACQkAHgoATAAA/sAHBgAbAB8ABgAP AKvMzMzMzNw/CAAfAAf/BQABHwAGALwEFQAfACcABgYACQsATAAA/sBM///+wAYGABsAHwAH AA8A5czMzMzM3D8IACAABv8FAAEfAAcAvAQVAB8AJwAHBwAJCwBMAAD+wEz///7ABgYAGwAf AAgADwBVL6G9hPaiPwgAIAAC/wUAAQ0ACADXAD4AgBkAADACDgAOAA4AdgCFAIUADgAOAH4A ywCMAcwB7wDvAO8A7wDvAO8A7wDvAO8A7wDvAO8A7wDvAO8A7wAIAhAAIAAAAAkA/wAAAAAA AAEPAAgCEAAhAAAACQD/AAAAAAAAAQ8ACAIQACIAAAAJAP8AAAAAAAABDwAIAhAAIwAAAAkA /wAAAAAAAAEPAAgCEAAkAAAACQD/AAAAAAAAAQ8ACAIQACUAAAAJAP8AAAAAAAABDwAIAhAA JgAAAAkA/wAAAAAAAAEPAAgCEAAnAAAACQD/AAAAAAAAAQ8AvQASACAAAAAPAAAANUAdAAAA GEABAAYAGwAgAAIADwCpzTf4+ccuwAgAIAAE/wUAAR8AAgAGABsAIAADAA8AmVEgQh7rK8AI ACAABf8FAAEfAAMABgAbACAABAAgAAvqp+nTUL08CAAgAAP/BQABHwAEAAYAGwAgAAUAIAB5 rSXNMrwIPQgAIAAI/wUAAR8ABQAGABsAIAAGAA8A5szMzMzM3D8IACAAB/8FAAEfAAYABgAb ACAABwAPAMnMzMzMzNw/CAAhAAb/BQABHwAHAAYAGwAgAAgADwBpL6G9hPaiPwgAIQAC/wUA AQ0ACAC9ABIAIQAAAA8AAAA2QB0AAAAYQAEABgAbACEAAgAPABnMVxmIeS/ACAAhAAT/BQAB HwACAAYAGwAhAAMADwAJUEBjrJwswAgAIQAF/wUAAR8AAwAGABsAIQAEACAAhVJKUlhiqjwI ACEAA/8FAAEfAAQABgAbACEABQAgAMy1boX6QvY8CAAhAAj/BQABHwAFAAYAGwAhAAYADwCs zMzMzMzcPwgAIQAH/wUAAR8ABgAGABsAIQAHAA8A5MzMzMzM3D8IACIABv8FAAEfAAcABgAb ACEACAAPAEMvob2E9qI/CAAiAAL/BQABDQAIAL0AEgAiAAAADwAAADdAHQAAABhAAQAGABsA IgACAA8AROU7HYsVMMAIACIABP8FAAEfAAIABgAbACIAAwAPAHlOYIQ6Ti3ACAAiAAX/BQAB HwADAAYAGwAiAAQAIAC7fdwW6b6XPAgAIgAD/wUAAR8ABAAGABsAIgAFACAA7QlKqxQJ5DwI ACIACP8FAAEfAAUABgAbACIABgAPAB7NzMzMzNw/CAAiAAf/BQABHwAGAAYAGwAiAAcADwCr zMzMzMzcPwgAIwAG/wUAAR8ABwAGABsAIgAIAA8Ajy+hvYT2oj8IACMAAv8FAAENAAgAvQAS ACMAAAAPAAAAOEAdAAAAGEABAAYAGwAjAAIADwB85MstUm4wwAgAIwAE/wUAAR8AAgAGABsA IwADAA8A6UyApcj/LcAIACMABf8FAAEfAAMABgAbACMABAAgAEOk+foEX4U8CAAjAAP/BQAB HwAEAAYAGwAjAAUAIACYosIzLAjSPAgAIwAI/wUAAR8ABQAGABsAIwAGAA8ArMzMzMzM3D8I ACMAB/8FAAEfAAYABgAbACMABwAPAObMzMzMzNw/CAAkAAb/BQABHwAHAAYAGwAjAAgADwBp L6G9hPaiPwgAJAAC/wUAAQ0ACAC9ABIAJAAAAA8AAAA5QB0AAAAYQAEABgAbACQAAgAPALTj Wz4ZxzDACAAkAAT/BQABHwACAAYAGwAkAAMADwBZS6DGVrEuwAgAJAAF/wUAAR8AAwAGABsA JAAEACAAf63g4eo7czwIACQAA/8FAAEfAAQABgAbACQABQAgAGOSlS6OOsA8CAAkAAj/BQAB HwAFAAYAGwAkAAYADwDkzMzMzMzcPwgAJAAH/wUAAR8ABgAGABsAJAAHAA8A5czMzMzM3D8I ACUABv8FAAEfAAcABgAbACQACAAPAGgvob2E9qI/CAAlAAL/BQABDQAIAL0AEgAlAAAADwAA ADpAHQAAABhAAQAGABsAJQACAA8A7OLrTuAfMcAIACUABP8FAAEfAAIABgAbACUAAwAPAMlJ wOfkYi/ACAAlAAX/BQABHwADAAYAGwAlAAQAIACaAheYhk9hPAgAJQAD/wUAAR8ABAAGABsA JQAFACAAK9SmIDM2rTwIACUACP8FAAEfAAUABgAbACUABgAPAOTMzMzMzNw/CAAlAAf/BQAB HwAGAAYAGwAlAAcADwCszMzMzMzcPwgAJgAG/wUAAR8ABwAGABsAJQAIAA8AjS+hvYT2oj8I ACYAAv8FAAENAAgAvQASACYAAAAPAAAAO0AdAAAAGEABAAYAGwAmAAIADwAk4ntfp3gxwAgA JgAE/wUAAR8AAgAGABsAJgADAA8AHCRwhDkKMMAIACYABf8FAAEfAAMABgAbACYABAAgAIwE wxG/KE88CAAmAAP/BQABHwAEAAYAGwAmAAUAIAAKjPw2YUqaPAgAJgAI/wUAAR8ABQAGABsA JgAGAA8ArczMzMzM3D8IACYAB/8FAAEfAAYABgAbACYABwAPAB7NzMzMzNw/CAAnAAb/BQAB HwAHAAYAGwAmAAgADwBDL6G9hPaiPwgAJwAC/wUAAQ0ACAC9ABIAJwAAAA8AAAA8QB0AAAAY QAEABgAbACcAAgAPAFzhC3Bu0THACAAnAAT/BQABHwACAAYAGwAnAAMADwBUIwCVAGMwwAgA JwAF/wUAAR8AAwAGABsAJwAEACAAyB3JXBILPDwIACcAA/8FAAEfAAQABgAbACcABQAgACGx SX5XqYc8CAAnAAj/BQABHwAFAAYAGwAnAAYADwDkzMzMzMzcPwgAJwAH/wUAAR8ABgAGABsA JwAHAA8ArMzMzMzM3D8IAA0AB/8FAAEfAAcABgAbACcACAAPAGgvob2E9qI/CAAMAAT/BQAB DQAIANcAFAAYCAAAjADvAO8A7wDvAO8A7wDvAD4CEgC2BgAAAABAAAAAAAAAAAAAAAAdAA8A AwgACgAAAAEACAAIAAoK7wAGAAAANwAAAAoAAAAJCBAAAAYQAO0ezQfBQAAABgEAAAsCEAAA AAAAAAAAAAAAAAAVLgAADQACAAEADAACAGQADwACAAEAEQACAAAAEAAIAPyp8dJNYlA/XwAC AAEAKgACAAAAKwACAAAAggACAAEAgAAIAAAAAAAAAAAAJQIEAAAA/wCBAAIAwQQUAAAAFQAA AIMAAgAAAIQAAgAAAKEAIgAAAP8AAQABAAEABAAACgoKAAAAAAAA4D8AAAAAAADgPywAVQAC AAgAAAIOAAAAAAAAAAAAAAAAAAAAPgISALYAAAAAAEAAAAAAAAAAAAAAAB0ADwADAAAAAAAA AQAAAAAAAADvAAYAAAA3AAAACgAAAAkIEAAABhAA7R7NB8FAAAAGAQAACwIQAAAAAAAAAAAA AAAAABwvAAANAAIAAQAMAAIAZAAPAAIAAQARAAIAAAAQAAgA/Knx0k1iUD9fAAIAAQAqAAIA AAArAAIAAACCAAIAAQCAAAgAAAAAAAAAAAAlAgQAAAD/AIEAAgDBBBQAAAAVAAAAgwACAAAA hAACAAAAoQAiAAAA/wABAAEAAQAEAAAAAAAAAAAAAADgPwAAAAAAAOA/LABVAAIACAAAAg4A AAAAAAAAAAAAAAAAAAA+AhIAtgAAAAAAQAAAAAAAAAAAAAAAHQAPAAMAAAAAAAABAAAAAAAA AO8ABgAAADcAAAAKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAD+/wAABAACAAAAAAAAAAAAAAAAAAAAAAABAAAA4IWf8vlPaBCrkQgAKyez2TAAAACwAAAA BwAAAAEAAABAAAAABAAAAEgAAAAIAAAAYAAAABIAAAB4AAAADAAAAJAAAAANAAAAnAAAABMA AACoAAAAAgAAAOQEAAAeAAAAEAAAAFdhbHRlciBMLiBSdXp6bwAeAAAAEAAAAFdhbHRlciBM LiBSdXp6bwAeAAAAEAAAAE1pY3Jvc29mdCBFeGNlbABAAAAAgBQIYZB3wQFAAAAAgAzu65p3 wQEDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/v8AAAQA AgAAAAAAAAAAAAAAAAAAAAAAAQAAAALVzdWcLhsQk5cIACss+a4wAAAA4AAAAAkAAAABAAAA UAAAAA8AAABYAAAAFwAAAGwAAAALAAAAdAAAABAAAAB8AAAAEwAAAIQAAAAWAAAAjAAAAA0A AACUAAAADAAAAL0AAAACAAAA5AQAAB4AAAAJAAAAVSBvZiBEdWIAZXQzAwAAABcQCQALAAAA AAAAAAsAAAAAAAAACwAAAAAAAAALAAAAAAAAAB4QAAADAAAABwAAAFNoZWV0MQAHAAAAU2hl ZXQyAAcAAABTaGVldDMADBAAAAIAAAAeAAAACwAAAFdvcmtzaGVldHMAAwAAAAMAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAACAAAAAwAAAAQA AAAFAAAABgAAAAcAAAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAABAAAAARAAAA EgAAABMAAAAUAAAAFQAAABYAAAAXAAAA/v///xkAAAAaAAAAGwAAABwAAAAdAAAAHgAAAB8A AAD+////IQAAACIAAAAjAAAAJAAAACUAAAAmAAAAJwAAAP7////9/////v////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////// ////////////////UgBvAG8AdAAgAEUAbgB0AHIAeQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAABYABQH//////////wIAAAAgCAIAAAAAAMAAAAAAAABG AAAAAAAAAAAAAAAAAAAAAAAAAAD+////AAAAAAAAAABXAG8AcgBrAGIAbwBvAGsAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEgACAf////////// /////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABrLwAAAAAAAAUA UwB1AG0AbQBhAHIAeQBJAG4AZgBvAHIAbQBhAHQAaQBvAG4AAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAoAAIBAQAAAAMAAAD/////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAGAAAAAAQAAAAAAAABQBEAG8AYwB1AG0AZQBuAHQAUwB1AG0AbQBhAHIAeQBJAG4A ZgBvAHIAbQBhAHQAaQBvAG4AAAAAAAAAAAAAADgAAgH///////////////8AAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAABAAAAAAAAA= --------------2A8253DE1FDB961D2B7FB857-- --------------45B1E7C2AACD2C6B0815203D--
Date: Tue, 04 Dec 2001 16:08:01 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: 527 presentations/finals/grades [Apologies if you got this already; I had some mailer trouble.] I think a few people missed my discussion of class projects/grading/etc. a couple weeks ago. The gist is that I'm going to grade based on the lecture notes you've written, and an informal project, consisting of either reading and reporting on a paper or two on a computational bio-related topic of interest to you, or doing some data analysis (e.g. trying some of the clustering algorithms we discussed on real or synthetic data). There will be NO final exam. The Project FAQ: > If I choose to read a paper and give presentation, when will > I give it? Do I need to submit a written report? I'd slightly prefer an oral report, so I can ask questions, but a written report is fine if you prefer; no need for both. In either case, nothing elaborate is required. Oral: just come tell me about what you read, perhaps relate it to class material, and/or suggest what sort of computational tools would be needed to make further progress on the problem. Written: 4-5 pages should be fine, similar content. I'm flexible as to timing, but would prefer to have them finished by, say, the Wednesday of finals week (12/19). Send me an email when you're ready to schedule a meeting. > I'm actually interested in doing some data analysis with a > {biology|computing} student, ... Great! > ... but I doubt if there is enough time considering I have > another project due. When is the deadline for that? If you have a project in mind that will stretch past finals, talk to me. Also, feel free to use this mailing list to find a partner and/or toss around project ideas.
Date: Thu, 06 Dec 2001 09:22:29 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: re: presentation > Also, did you have in mind that we would prepare > slides, or something more informal? Informal. slides are unnecessary, but fine if they help you.
Date: Thu, 06 Dec 2001 09:24:50 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: Re: presentation References: <3C0FA955.1DF04DB0@cs.washington.edu> PS: I'm expecting everyone to take about half an hour to describe what they read, including some time for me to ask dumb questions. "Walter L. Ruzzo" wrote: > > > Also, did you have in mind that we would prepare > > slides, or something more informal? > > Informal. slides are unnecessary, but fine if they help > you.
Date: Thu, 06 Dec 2001 10:25:11 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: compbio-seminars@cs.washington.edu, cse527@cs.washington.edu Subject: Phil Green talk today Phil's talk today in the Biostats seminar may be of interest to many of you. Speaker: Philip P. Green Professor of Molecular Biotechnology Adjunct Professor of Computer Science University of Washington Subject: Analyzing Genome Sequences Date: Thursday, December 6, 2001 Time: 3:30PM-5:00PM Place: T-639 Health Sciences Building ABSTRACT: Our ability to determine the genome sequences of organisms now greatly outpaces our ability to extract the biological information contained in those sequences. I will briefly survey existing methods for identifying and delineating one important kind of genomic sequence feature, the protein-coding genes, and then describe our own work in developing a computational approach to gene identification. Probalistic models of gene and genome structure play a key role in this work.
Date: Thu, 06 Dec 2001 10:28:34 -0800 From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> To: cse527@cs.washington.edu Subject: another gene finding talk > Date: Wed, 28 Nov 2001 11:16:19 -0800 > From: "Walter L. Ruzzo" <ruzzo@cs.washington.edu> > To: cse590cb@cs.washington.edu, compbio-seminars@cs.washington.edu > Subject: CSE 590CB 12/7: mRNA Secondary Structure vs Splicing > And lest I forget, here's yet another talk related to gene finding. > > We'll use the last session of 590cb this quarter for Don to give > a warm-up to his talk at PSB in January. Usual time/place: > 10:30AM, EE 045, Friday 12/7. > > Pre-mRNA Secondary Structure Prediction Aids Splice Site > Prediction > > Donald J. Patterson, Ken Yasuhara and Walter L. Ruzzo > > To appear: Pacific Symposium on Biocomputing, Kauai, Hawaii, > Jan., 2002. > > Abstract: Accurate splice site prediction is a critical > component of any computational approach to gene prediction in > higher organisms. Existing approaches generally use > sequence-based models that capture local dependencies among > nucleotides in a small window around the splice site. We present > evidence that computationally predicted secondary structure of > moderate length pre-mRNA subsequences contains information that > can be exploited to improve acceptor splice site prediction > beyond that possible with conventional sequence-based > approaches. Both decision tree and support vector machine > classifiers, using folding energy and structure metrics > characterizing helix formation near the splice site, achieve a > 5--10% reduction in error rate with a human data set. Based on > our data, we hypothesize that acceptors preferentially exhibit > short helices at the splice site. > > Download: > http://www.cs.washington.edu/homes/ruzzo/papers/splice.pdf
Date: Fri, 14 Dec 2001 14:20:50 -0800 (PST) From: Jochen Jaeger <jj@cs.washington.edu> To: cse527 <cse527@cs.washington.edu> Subject: lecture notes Hi, just wanted to tell you that all of the lecture notes are now up on the web. If anything is terribly wrong with it please email me so that I can fix it. Thanks, Jj
 |
Department of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX [comments to cse527-webmaster@cs.washington.edu] |