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OpenScience / Software / Life Sciences / Bioinformatics
GEOSS
Gene Expression Open Source System (GEOSS) is a complete system used to store and analyze gene expression data. It has a relational database, a web interface, and an analysis suite. There is also a repository for each user’s files, and … Continue reading
Posted in Bioinformatics, Genetics
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Wise2
Wise2 is package that is focused on comparing DNA sequences at the level of its conceptual translation, regardless of sequencing error and introns. Find Wise2 at: http://www.sanger.ac.uk/Software/Wise2/
Posted in Bioinformatics
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SeqPup
SeqPup is a biological sequence editor and analysis program. Find SeqPup at: http://iubio.bio.indiana.edu/IUBio-Software+Data/molbio/seqpup/java/
Posted in Bioinformatics
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Pfam
Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein domains. Find Pfam at: http://pfam.sanger.ac.uk/
Posted in Bioinformatics
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HMMER
Profile hidden Markov models for biological sequence analysis. Find HMMER at: http://hmmer.janelia.org/
Posted in Bioinformatics
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Geanfammer
geanfammer contains divclus which divides proteinclusters into more correct domain level clusters Find Geanfammer at: http://www.mrc-lmb.cam.ac.uk/genomes/geanfammer.html
Posted in Bioinformatics
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Dynamite
Dynamite is a code generating language developed for sequence comparison methods. Find Dynamite at: http://www.sanger.ac.uk/Software/Dynamite/
Posted in Bioinformatics
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gBioSeq
Biological sequence (ADN, protein) editor for GTK/Linux Find gBioSeq at: http://www.bioinformatics.org/project/?group_id=94
Posted in Bioinformatics
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autoseq
autoseq is a small package of base calling software for ABI automated DNA sequencers. It is intended as a starting point for researchers interested in new base calling algorithms. Find autoseq at: http://harts.net/reece/autoseq/
Posted in Bioinformatics
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Bioperl
The Bioperl Project is an international association of developers of open source Perl tools for bioinformatics, genomics and life science research. Find Bioperl at: http://bio.perl.org/
Posted in Bioinformatics, Life Sciences
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