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Biological Motif Discovery

Biological Motif Discovery. Concepts Motif Modeling and Motif Information EM and Gibbs Sampling Comparative Motif Prediction Applications Transcription Factor Binding Site Prediction Epitope Prediction Lab Practical DNA Motif Discovery with MEME and AlignAce

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Index Compression

Index Compression. Ferrol Aderholdt. Motivation. Uncompressed indexes are large It might be useful for some modern devices to support information retrieval techniques that would not be able to do with uncompressed indexes. Motivation (cont.). Disk I/O is slow. Types of Compression. Lossy

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Unsupervised language acquisition Carl de Marcken 1996

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Numbers and their bases

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faculty.chemeketa/ascholer/cs160/Files/ecGrid.html

http://faculty.chemeketa.edu/ascholer/cs160/Files/ecGrid.html. Error Detection and Correction. Fixing 0101X011. Computer Errors. RAM isn't perfect. Computer Errors. Networks aren't either. Computer Errors. How the heck do you read 1s and 0's off this?. Pinpoint. How did I do it?.

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Unicode

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Potential Enhancements to the XS Trigger Firmware

Potential Enhancements to the XS Trigger Firmware. Current Implementation Potential Enhancements Functional overview Resource Requirements Conclusions ( Missing Energy = E T miss , MET, XE Missing Energy Significance = XS ). Implementation.

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Some Common Binary Signaling Formats:

Some Common Binary Signaling Formats:. AMI. RZ. Manchester. NRZ-B. NRZ. 1 0 1 0 0 1 1 1 0 1.

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Bio Ruby ??????? BLAST ?????????

Bio Ruby ??????? BLAST ?????????. Implementation of Fast BLAST output parser in Bio Ruby. ???? ?????????? ?????????. ?? ??. ?? ??. Naohisa Goto. Teruo Yasunaga. Genome Information Research Center, Osaka Univ. Abstract. Bio Ruby. BLAST ???????. ??????.

133 views • 1 slides