Open AccessCoGe LoadExp+: A web‐based suite that integrates next‐generation sequencing data analysis workflows and visualization
Author(s) -
Grover Jeffrey W.,
Bomhoff Matthew,
Davey Sean,
Gregory Brian D.,
Mosher Rebecca A.,
Lyons Eric
Publication year - 2017
Publication title -
plant direct
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.211
H-Index - 11
ISSN - 2475-4455
DOI - 10.1002/pld3.8
Subject(s) - epigenomics , workflow , suite , genome browser , genomics , computer science , data integration , identification (biology) , visualization , population , data science , world wide web , computational biology , genome , biology , database , data mining , genetics , dna methylation , history , gene expression , botany , demography , archaeology , sociology , gene
To make genomic and epigenomic analyses more widely available to the biological research community, we have created LoadExp+, a suite of bioinformatics workflows integrated with the web-based comparative genomics platform, CoGe. LoadExp+ allows users to perform transcriptomic (RNA-seq), epigenomic (bisulfite-seq), chromatin-binding (ChIP-seq), variant identification (SNPs), and population genetics analyses against any genome in CoGe, including genomes integrated by users themselves. Through LoadExp+'s integration with CoGe's existing features, all analyses are available for visualization and additional downstream processing, and are available for export to CyVerse's data management and analysis platforms. LoadExp+ provides easy-to-use functionality to manage genomics and epigenomics data throughout its entire lifecycle using a publicly available web-based platform and facilitates greater accessibility of genomics analyses to researchers of all skill levels. LoadExp+ can be accessed at https://genomevolution.org.