Work

NGS analyses by visualization with Trackster

Year: 2012

Type: article

Source: Nature Biotechnology

DOI: 10.1038/nbt.2404

Authors: Jeremy Goecks, Nate Coraor, The Galaxy Team, Anton Nekrutenko, James Taylor

Institutions: Emory University, Pennsylvania State University

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, Pennsylvania Department of Health, National Institutes of Health, National Human Genome Research Institute

Awards: Dynamically scalable accessible analysis for next generation sequence data, G505996347, Democratization of Data Analysis in Life Sciences Through Galaxy, G7044029168, A Turnkey Solution for Next Generation Sequence Data Analysis, An Efficient Lightweight Environment for Biomedical Computation, G83632010, G8939430086, Democratization of Data Analysis in Life Sciences Through Galaxy

OpenAlex ID: W2057167586

FWCI: 1.925

Cites: 20

Cited by: 34

Related to: 10