Methods and Algorithms for Statistical Analysis of Protein Sequences
Conference Paper, Proceedings of National Academy of Sciences of the United States of America, Vol. 89, No. 6, pp. 2002 - 2006, March, 1992
Abstract
We describe several protein sequence statistics designed to evaluate distinctive attributes of residue content and arrangement in primary structure. Considered are global compositional biases, local clustering of different residue types (e.g., charged residues, hydrophobic residues, Ser/Thr), long runs of charged or uncharged residues, periodic patterns, counts and distribution of homooligopeptides, and unusual spacings between particular residue types. The computer program SAPS (statistical analysis of protein sequences) calculates all the statistics for any individual protein sequence input and is available for the UNIX environment through electronic mail on request to V.B. (volker/genomic@stanford.edu).
BibTeX
@conference{Brendel-1992-15855,author = {Volker Brendel and Philip Bucher and Illah Nourbakhsh and Edwin Blaisdell and Samuel Karlin},
title = {Methods and Algorithms for Statistical Analysis of Protein Sequences},
booktitle = {Proceedings of National Academy of Sciences of the United States of America},
year = {1992},
month = {March},
volume = {89},
pages = {2002 - 2006},
}
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