conosorter

We have hosted the application conosorter in order to run this application in our online workstations with Wine or directly.

Quick description about conosorter:

ConoSorter is a high-throughput standalone program that implements regular expressions and profile Hidden Markov Models (pHMMs) for large-scale identification and classification of precursor conopeptides into gene superfamilies and classes based on the ER signal, pro-, and mature conopeptide regions generated from raw next-generation transcriptomic or proteomic data.

ConoSorter also generates a set of relevant additional information (frequency of protein sequences, length, number of cysteine residues, hydrophobicity rate of N-terminal region) and automatically searches ConoServer database to allow the user to assess the reliability and relevance of the results and to aid the identification of new conopeptide superfamilies and classes.

Features:

• ConoSorter_v1.1 Update (2013-11-06): New Superfamilies (V. Lavergne et al., BMC Genomics - 2013; AH. Jin et al., MCP - 2013) and Class (C. Moeller et al., JBC - 2010).

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