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SigTools: exploratory visualization for genomic signals.

Authors :
Masoumi S
Libbrecht MW
Wiese KC
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2022 Jan 27; Vol. 38 (4), pp. 1126-1128.
Publication Year :
2022

Abstract

Motivation: 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.<br />Results: SigTools is an R-based genomic signals visualization package developed with two objectives: (i) to facilitate genomic signals exploration in order to uncover insights for later model training, refinement and development by including distribution and autocorrelation plots; (ii) to enable genomic signals interpretation by including correlation and aggregation plots. In addition, our corresponding web application, SigTools-Shiny, extends the accessibility scope of these modules to people who are more comfortable working with graphical user interfaces instead of command-line tools.<br />Availability and Implementation: SigTools source code, installation guide and manual is freely available on http://github.com/shohre73.<br /> (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1367-4811
Volume :
38
Issue :
4
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
34718413
Full Text :
https://doi.org/10.1093/bioinformatics/btab742