MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Work
Year: 2017
Type: article
Source: Nature Biotechnology
Authors Martin Steinegger, Johannes Söding
Institution Max Planck Institute for Biophysical Chemistry
Cites: 22
Cited by: 2,987
Related to: 10
FWCI: 30.7
Citation percentile (by year/subfield): 100
Subfield: Molecular Biology
Domain: Life Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green