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Compositional analysis of protein sequences of different species

Keywords: bioinformatics , hydrophobic , compositional analysis , protein , software development , statistical analysis

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Abstract:

We describe several protein sequence statistics designed to evaluate distinctive attributes ofresidue content and arrangement in primary structure. As per the global consideration, thecompositional biases of clustering different residue types (charged residues, hydrophobic residues) oflong runs of charged or uncharged residues, periodic patterns, counts and distribution ofhomooligopeptides, and unusual spacing between particular residue types. The computer programSEQUANA (statistical analysis of protein sequences) calculates all the statistics for any individualprotein sequence input and is available for the WINDOWS environment through electronic mail onrequest to csvinobha@gmail.com

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