CHISEL
high-resolution evolutionary analysis of enzymatic sequences

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The status of Chisel is under review, the current code and data will not be updated. If there is any data here that you wish to preserve, you are responsible for downloading it. An overview of the bioinformatics research being conducted at the Mathematics and Computer Science Division is available at this page.

CHISEL is an integrated framework for identification and characterization of taxonomic and phenotypic variations of enzymes.

The taxonomy-specific clusters of enzymatic sequences are represented as computational models (HMM profiles, PSSMs, consensus sequences and multiple sequence alignments) available for download.

Currently Chisel contains 8575 models that are both taxonomy and function specific. You can search Chisel clusters based on taxonomy, phenotypic characteristics of the organisms, metabolic pathways and sequence feature characteristics.

The classification page allows users to submit a sequence for prediction of function and possible taxonomy of the organism of origin.

Chisel was successfully used for the needs of evolutionary analysis, biodefense research and analyses of metagenomes. [View]

         
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