Domain prediction with probabilistic directional context-Reference-Cited by-同舟云学术

Domain prediction with probabilistic directional context

Published:2017-04-12 Issue:16 Volume:33 Page:2471-2478
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Ochoa Alejandro¹²,Singh Mona¹³

Affiliation:

1. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

2. Center for Statistics and Machine Learning, Princeton University, Princeton, NJ, USA

3. Department of Computer Science, Princeton University, Princeton, NJ, USA

Funder

National Science Foundation

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/16/2471/25163528/btx221.pdf

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4. Improvement in protein domain identification is reached by breaking consensus, with the agreement of many profiles and domain co-occurrence;Bernardes;PLOS Comput. Biol,2016

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2. Metabolite discovery through global annotation of untargeted metabolomics data;Nature Methods;2021-10-28

3. Protein domain identification methods and online resources;Computational and Structural Biotechnology Journal;2021

4. An encoding of genome content for machine learning;2019-01-18

5. Improving pairwise comparison of protein sequences with domain co-occurrence;PLOS Computational Biology;2018-01-02