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JBrowseR: an R interface to the JBrowse 2 genome browser
Author(s) -
Elliot A. Hershberg,
Garrett J Stevens,
Colin Diesh,
Peter Xie,
Teresa De Jesus Martinez,
Robert Buels,
Lincoln Stein,
Ian Holmes
Publication year - 2021
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/btab459
Subject(s) - genome browser , computer science , interface (matter) , web browser , variety (cybernetics) , visualization , download , world wide web , source code , genome , user interface , software , code (set theory) , the internet , genomics , operating system , biology , programming language , set (abstract data type) , genetics , data mining , bubble , maximum bubble pressure method , artificial intelligence , gene
Genome browsers are an essential tool in genome analysis. Modern genome browsers enable complex and interactive visualization of a wide variety of genomic data modalities. While such browsers are very powerful, they can be challenging to configure and program for bioinformaticians lacking expertise in web development.

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