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NPS@: Network Protein Sequence Analysis

Trends in Biochemical Sciences, 2000
The authors like to acknowledge financial support from CNRS, MENESR and Region Rhone-Alpes and thank all computing teams that have developed biocomputing methods for protein sequence analysis. C. Combet is the recipient of an ANRS doctoral fellowship. Thanks are due to D. Mandelman for textual improvements.
Gilbert Deleage   +2 more
exaly   +4 more sources

Protein Sequence Analysis by Proximities.

Methods in molecular biology, 2016
Sequence data are widely used to get a deeper insight into biological systems. From a data analysis perspective they are given as a set of sequences of symbols with varying length. In general they are compared using nonmetric score functions. In this form the data are nonstandard, because they do not provide an immediate metric vector space and their ...
F. Schleif
semanticscholar   +3 more sources

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