SigTools: exploratory visualization for genomic signals | Zendy

Shohre Masoumi | Zendy; Maxwell W. Libbrecht | Zendy; Kay C. Wiese | Zendy

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SigTools: exploratory visualization for genomic signals

Author(s) -

Shohre Masoumi,

Maxwell W. Libbrecht,

Kay C. Wiese

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/btab742

Subject(s) - visualization , computer science , scope (computer science) , source code , software , autocorrelation , data mining , data science , programming language , statistics , mathematics

With the advancement of sequencing technologies, genomic data sets are constantly being expanded by high volumes of different data types. One recently introduced data type in genomic science is genomic signals, which are usually short-read coverage measurements over the genome. To understand and evaluate the results of such studies, one needs to understand and analyze the characteristics of the input data.

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