Unknown

Dataset Information

0

CoGe LoadExp+: A web-based suite that integrates next-generation sequencing data analysis workflows and visualization.


ABSTRACT: 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.

SUBMITTER: Grover JW 

PROVIDER: S-EPMC6508507 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

CoGe LoadExp+: A web-based suite that integrates next-generation sequencing data analysis workflows and visualization.

Grover Jeffrey W JW   Bomhoff Matthew M   Davey Sean S   Gregory Brian D BD   Mosher Rebecca A RA   Lyons Eric E  

Plant direct 20170720 2


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 Load  ...[more]

Similar Datasets

| S-EPMC6019711 | biostudies-literature
| S-EPMC3292476 | biostudies-literature
| S-EPMC4261581 | biostudies-literature
| S-EPMC2896157 | biostudies-literature
| S-EPMC8479661 | biostudies-literature
| S-EPMC5008344 | biostudies-literature
| S-EPMC4655094 | biostudies-literature
| S-EPMC4987876 | biostudies-literature
| S-EPMC5023399 | biostudies-literature
| S-EPMC4028082 | biostudies-other