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Martin Steinegger

Showing results (1-10 of 77) with videos related to

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Nature Communications|July 1, 2018
Clustering huge protein sequence sets in linear timeMartin Steinegger, Johannes Söding
Nature Biotechnology|October 17, 2017
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data setsMartin Steinegger, Johannes Söding
Bioinformatics (Oxford, England)|August 3, 2023
Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matricesDaniel Liu, Martin Steinegger
Nature Methods|May 20, 2024
Metabuli: sensitive and specific metagenomic classification via joint analysis of amino acid and DNAJaebeom Kim, Martin Steinegger
Genome Biology|May 14, 2020
Terminating contamination: large-scale search identifies more than 2,000,000 contaminated entries in GenBankMartin Steinegger, Steven L Salzberg
Bioinformatics (Oxford, England)|January 9, 2016
MMseqs software suite for fast and deep clustering and searching of large protein sequence setsMaria Hauser, Martin Steinegger, Johannes Söding
Genome Biology and Evolution|June 2, 2025
Unicore Enables Scalable and Accurate Phylogenetic Reconstruction with Structural Core GenesDongwook Kim, Sukhwan Park, Martin Steinegger
Bioinformatics (Oxford, England)|March 24, 2023
Foldcomp: a library and format for compressing and indexing large protein structure setsHyunbin Kim, Milot Mirdita, Martin Steinegger
Nature Methods|June 26, 2019
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfoldMartin Steinegger, Milot Mirdita, Johannes Söding
Bioinformatics (Oxford, England)|January 8, 2019
MMseqs2 desktop and local web server app for fast, interactive sequence searchesMilot Mirdita, Martin Steinegger, Johannes Söding
Pageof 8

Showing results (1-10 of 77) with videos related to

Sort By:
Pageof 8
Nature Communications|July 1, 2018
Clustering huge protein sequence sets in linear timeMartin Steinegger, Johannes Söding
Nature Biotechnology|October 17, 2017
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data setsMartin Steinegger, Johannes Söding
Bioinformatics (Oxford, England)|August 3, 2023
Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matricesDaniel Liu, Martin Steinegger
Nature Methods|May 20, 2024
Metabuli: sensitive and specific metagenomic classification via joint analysis of amino acid and DNAJaebeom Kim, Martin Steinegger
Genome Biology|May 14, 2020
Terminating contamination: large-scale search identifies more than 2,000,000 contaminated entries in GenBankMartin Steinegger, Steven L Salzberg
Bioinformatics (Oxford, England)|January 9, 2016
MMseqs software suite for fast and deep clustering and searching of large protein sequence setsMaria Hauser, Martin Steinegger, Johannes Söding
Genome Biology and Evolution|June 2, 2025
Unicore Enables Scalable and Accurate Phylogenetic Reconstruction with Structural Core GenesDongwook Kim, Sukhwan Park, Martin Steinegger
Bioinformatics (Oxford, England)|March 24, 2023
Foldcomp: a library and format for compressing and indexing large protein structure setsHyunbin Kim, Milot Mirdita, Martin Steinegger
Nature Methods|June 26, 2019
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfoldMartin Steinegger, Milot Mirdita, Johannes Söding
Bioinformatics (Oxford, England)|January 8, 2019
MMseqs2 desktop and local web server app for fast, interactive sequence searchesMilot Mirdita, Martin Steinegger, Johannes Söding
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