A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen

A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen

Abstract Background Sequence similarity networks are useful for classifying and characterizing biologically important proteins. Threshold-based approaches to similarity network construction using exact distance measures are prohibitively slow to compute and rely on the difficult task of selecting an...

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Bibliographic Details
Main Authors: Helen N. Catanese, Kelly A. Brayton, Assefaw H. Gebremedhin
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Sequence similarity network
Network analysis
Centrality
Clustering
Anaplasma marginale Msp1a
GroEL
Online Access:http://link.springer.com/article/10.1186/s12859-018-2453-2

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http://link.springer.com/article/10.1186/s12859-018-2453-2

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