article Open AccessTop 1% cited
HH-suite3 for fast remote homology detection and deep protein annotation
BMC Bioinformatics · 2019 · Vol. 20(1) · pp. 473–473
Martin Steinegger✉(Johns Hopkins University)Markus Meier(Max Planck Institute for Biophysical Chemistry)Milot Mirdita(Max Planck Institute for Biophysical Chemistry)Harald Vöhringer(European Bioinformatics Institute)Stephan J. Haunsberger(Royal College of Surgeons in Ireland)Johannes Söding(Max Planck Institute for Biophysical Chemistry)
Abstract
The added functionalities and increased speed of HHsearch and HHblits should facilitate their use in large-scale protein structure and function prediction, e.g. in metagenomics and genomics projects.
Genomics and Phylogenetic StudiesMachine Learning in BioinformaticsProtein Structure and DynamicsComputer scienceHidden Markov modelSoftware suiteViterbi algorithmSoftwareAnnotationSuiteSmith–Waterman algorithmSequence alignmentThreading (protein sequence)
MeSH terms
AlgorithmsMarkov ChainsSoftwareSequence AlignmentSequence Analysis, ProteinMolecular Sequence Annotation
Funding
- Michigan State University
- College of Engineering, Michigan State University
- Horizon 2020 Framework Programme
- Horizon 2020
Citations
1,244
FWCI
43.60
field-weighted impact
References
37
Percentile
100%
vs. same field & year
Citations per year
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References
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