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GenOuest, Bioinformatics computing center of Ouest-genopole
The team transfers his results to the GenOuest, bioinformatics computing center of Ouest-Genopole. hosted by the team. All our developments are progressively made available within a service platform. This platform has a strategic role in the genopole, offering access to various softwares and databases. It allows our team to filter from routine service requests new subjects of research with a good relevance in biology. We propose original tools for complex filtering of sequences.
Softwares
Most of the softwares introduced here are available on the GenOuest platform.
Administration of data banks
Sequence alignement and comparison
Genomes
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kisSnp: SNP identification: a tool to find SNPs by comparing two sets of raw NGS reads without assembly nor mapping on a reference genome
http://alcovna.genouest.org/kissnp/
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Cassis: rearrangement breakpoints. Cassis is a software for precise detection of rearrangement breakpoints in whole (sequenced and assembled) genomes. http://pbil.univ-lyon1.fr/software/Cassis/
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Module organizer: segmentation of DNA sequences ModuleOrganizer is a software package proposing a synthetic view of a set of DNA sequences by providing both a segmentation of them into domains and a classification on the basis of these domains. http://moduleorganizer.genouest.org
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CRISPR identification CRISPI is a user-friendly web interface with many graphical tools and facilities allows extracting CRISPR, finding out CRISPR in personal sequences or calculating sequence similarity with spacers. http://crispi.genouest.org
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Logol Logol is a language and a tool to define biological patterns to look for in one or more sequences (dna/rna/proteins). Patterns can be complex: the tool allows the use of variables to look for repetitions for example, the use of gaps and morphisms (reverse word complement for example), etc... http://www.genouest.org/spip.php?article758
Proteins
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A_purva: Scoring similarities between proteins A_purva is a Contact Map Overlap maximization (CMO) solver. Given two protein structures represented by two contact maps,
A_purva computes the amino-acid alignment which maximize the number of common contacts. http://apurva.genouest.org
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Protomata-Learner Protomata-Learner infers graphical models (automata) of functional or structural families of proteins from a sample of (unaligned) sequences of the family. These models can be used to get new
insights into the family, when classical multiple sequence alignments
are insufficient, or to search for new family members in the sequence
data banks, with the advantage of a finer level of expressivity than
classical sequence patterns (such as PSSM, Profile HMM, or Prosite
Patterns). http://protomata-learner.genouest.org/
Systems biology
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