CoGe LoadExp+: A web‐based suite that integrates next‐generation sequencing data analysis workflows and visualization
Summary 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), epig...
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Published in: | Plant direct Vol. 1; no. 2 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
John Wiley & Sons, Inc
01-07-2017
John Wiley and Sons Inc |
Subjects: | |
Online Access: | Get full text |
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Summary: | Summary
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. |
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Bibliography: | Funding information https://doi.org/10.1101/118802 This work was supported by the U.S. National Science Foundation (IOS‐1339156, IOS‐1444490, and IOS‐1546825). This manuscript was previously deposited as a preprint at doi ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This manuscript was previously deposited as a preprint at doi: https://doi.org/10.1101/118802 |
ISSN: | 2475-4455 2475-4455 |
DOI: | 10.1002/pld3.8 |