Open Access4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilities
Author(s) -
Laura Seaman,
Indika Rajapakse
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx484
Subject(s) - toolbox , karyotype , series (stratigraphy) , computer science , time series , computational biology , biology , genetics , programming language , chromosome , machine learning , gene , paleontology
The availability of powerful analysis tools will further understanding of genome organization and its relationship to phenotype in dynamical settings.
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