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Seqool - A sequence analysis tool

Search current issues of genetics and bioinformatics journals. Alternative Splice Site Predictor. Seqool - A sequence analysis tool. Signal search, pattern recognition, and sequence statistics. The main features of the Seqool sequence analysis program package. Nucleotide composition, oligo-nucleotide composition. GC content, codon usage, codon preference. Calculation of over- or under-represented oligo-nucleotides. Profiles (weight matrices/position specific score matrices). Profile hidden Markov models.

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Seqool - A sequence analysis tool | biossc.de Reviews
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Search current issues of genetics and bioinformatics journals. Alternative Splice Site Predictor. Seqool - A sequence analysis tool. Signal search, pattern recognition, and sequence statistics. The main features of the Seqool sequence analysis program package. Nucleotide composition, oligo-nucleotide composition. GC content, codon usage, codon preference. Calculation of over- or under-represented oligo-nucleotides. Profiles (weight matrices/position specific score matrices). Profile hidden Markov models.
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4 assp
5 basic sequence analysis
6 signal search
7 maximum dependence decomposition
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Seqool - A sequence analysis tool | biossc.de Reviews

https://biossc.de

Search current issues of genetics and bioinformatics journals. Alternative Splice Site Predictor. Seqool - A sequence analysis tool. Signal search, pattern recognition, and sequence statistics. The main features of the Seqool sequence analysis program package. Nucleotide composition, oligo-nucleotide composition. GC content, codon usage, codon preference. Calculation of over- or under-represented oligo-nucleotides. Profiles (weight matrices/position specific score matrices). Profile hidden Markov models.

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Seqool - Program manual

http://www.biossc.de/seqool/manual.html

Seqool - Program manual. The Seqool program manual can be download as a PDF file. You need acrobat reader to view this file. For downloading the program package proceed to the download area. Last Changes 15.10.2006.

2

Seqool - Download are

http://www.biossc.de/seqool/dwnload.html

Download the Seqool program package and pattern recognition models. Seqool is free for educational use. Ie for education and research at public universities). For free download of the Seqool program package registration. Is required. If you have already registered proceed to login. For commercial use of the software see this link. Update released - 26.08.2011. Please cite Seqool as follows:. Fill in the registration form and proceed to the download area. British Indian Ocean Territory. Vatican City State...

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Alternative Splice Site Predictor (ASSP) - Prediction

http://wangcomputing.com/assp/index.html

Alternative Splice Site Predictor (ASSP). Wang M. and Marín A. 2006. Characterization and Prediction of Alternative Splice Sites. Gene 366: 219-227. To analyse multiple sequences please use ASSP MultiSEQ. ASSP MultiSEQ produces an output file in text format, which can be parsed easily for automation. Enter your sequence (human):. FASTA or raw sequence, DNA or RNA). Include at least 70 bp before the first and after the last splice site). False splice site cutoff for acceptor sites:.

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The flamenco metronome for your PC and iPhone and iPhone / iOS. Introduction to the rhythms. Overview of the program. Now also for iOS! We accept Paypal and. The flamenco metronome for iOS / iPhone. Don't know if your falseta fits in the compás? Don't know how long your step pattern should be? Getting faster or inacurate when performing? Then try the Compás flamenco. View CompasFlamenco in iTunes. Siguiriyas can be played as a rhythm of 12 beats (beginning at 8) or as a rhythm counted to 5 (1 y 2 y 3 y y...

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Seqool - A sequence analysis tool

Search current issues of genetics and bioinformatics journals. Alternative Splice Site Predictor. Seqool - A sequence analysis tool. Signal search, pattern recognition, and sequence statistics. The main features of the Seqool sequence analysis program package. Nucleotide composition, oligo-nucleotide composition. GC content, codon usage, codon preference. Calculation of over- or under-represented oligo-nucleotides. Profiles (weight matrices/position specific score matrices). Profile hidden Markov models.

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