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Bioinformatics (Oxford, England)
|
November 9, 2004
Protein homology detection by HMM-HMM comparison
Johannes Söding
Science (New York, N.Y.)
|
January 21, 2017
Big-data approaches to protein structure prediction
Johannes Söding
Bioinformatics (Oxford, England)
|
January 26, 2015
bbcontacts: prediction of β-strand pairing from direct coupling patterns
Jessica Andreani, Johannes Söding
Nucleic Acids Research
|
June 12, 2016
Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences
Matthias Siebert, Johannes Söding
Nature Biotechnology
|
October 17, 2017
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Martin Steinegger, Johannes Söding
Bioinformatics (Oxford, England)
|
October 24, 2014
Context similarity scoring improves protein sequence alignments in the midnight zone
Armin Meier, Johannes Söding
Plos Computational Biology
|
October 27, 2015
Automatic Prediction of Protein 3D Structures by Probabilistic Multi-template Homology Modeling
Armin Meier, Johannes Söding
Bioinformatics (Oxford, England)
|
September 26, 2025
Enhancing genome recovery across metagenomic samples using MAGmax
Arangasamy Yazhini, Johannes Söding
Nature Communications
|
July 1, 2018
Clustering huge protein sequence sets in linear time
Martin Steinegger, Johannes Söding
Current Opinion in Structural Biology
|
April 5, 2011
Protein sequence comparison and fold recognition: progress and good-practice benchmarking
Johannes Söding, Michael Remmert
Page
of 10
Search research articles
Search
Showing results (1-10 of 94) with videos related to
Sort By:
Page
of 10
Bioinformatics (Oxford, England)
|
November 9, 2004
Protein homology detection by HMM-HMM comparison
Johannes Söding
Science (New York, N.Y.)
|
January 21, 2017
Big-data approaches to protein structure prediction
Johannes Söding
Bioinformatics (Oxford, England)
|
January 26, 2015
bbcontacts: prediction of β-strand pairing from direct coupling patterns
Jessica Andreani, Johannes Söding
Nucleic Acids Research
|
June 12, 2016
Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences
Matthias Siebert, Johannes Söding
Nature Biotechnology
|
October 17, 2017
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Martin Steinegger, Johannes Söding
Bioinformatics (Oxford, England)
|
October 24, 2014
Context similarity scoring improves protein sequence alignments in the midnight zone
Armin Meier, Johannes Söding
Plos Computational Biology
|
October 27, 2015
Automatic Prediction of Protein 3D Structures by Probabilistic Multi-template Homology Modeling
Armin Meier, Johannes Söding
Bioinformatics (Oxford, England)
|
September 26, 2025
Enhancing genome recovery across metagenomic samples using MAGmax
Arangasamy Yazhini, Johannes Söding
Nature Communications
|
July 1, 2018
Clustering huge protein sequence sets in linear time
Martin Steinegger, Johannes Söding
Current Opinion in Structural Biology
|
April 5, 2011
Protein sequence comparison and fold recognition: progress and good-practice benchmarking
Johannes Söding, Michael Remmert
Page
of 10