FAS: assessing the similarity between proteins using multi-layered feature architectures.

Bibliographic Details
Title:	FAS: assessing the similarity between proteins using multi-layered feature architectures.
Authors:	Dosch J; Applied Bioinformatics Group, Goethe University Frankfurt, Faculty of Biosciences, Institute of Cell Biology and Neuroscience, Frankfurt, 60438, Germany., Bergmann H; Applied Bioinformatics Group, Goethe University Frankfurt, Faculty of Biosciences, Institute of Cell Biology and Neuroscience, Frankfurt, 60438, Germany., Tran V; Applied Bioinformatics Group, Goethe University Frankfurt, Faculty of Biosciences, Institute of Cell Biology and Neuroscience, Frankfurt, 60438, Germany., Ebersberger I; Applied Bioinformatics Group, Goethe University Frankfurt, Faculty of Biosciences, Institute of Cell Biology and Neuroscience, Frankfurt, 60438, Germany.; Senckenberg Biodiversity and Climate Research Centre (S-BIKF), Frankfurt, 60325, Germany.; LOEWE Centre for Translational Biodiversity Genomics (TBG), Frankfurt, 60325, Germany.
Source:	Bioinformatics (Oxford, England) [Bioinformatics] 2023 May 04; Vol. 39 (5).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database:	MEDLINE Complete
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Description
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/btad226