Strategies towards digital and semi-automated curation in RegulonDB-Reference-Cited by-同舟云学术

Strategies towards digital and semi-automated curation in RegulonDB

Published:2017-01-01 Issue: Volume:2017 Page:
ISSN:1758-0463
Container-title:Database
language:en
Short-container-title:

Author:

Rinaldi Fabio¹²,Lithgow Oscar¹,Gama-Castro Socorro¹,Solano Hilda¹,López-Fuentes Alejandra¹,Muñiz Rascado Luis José¹,Ishida-Gutiérrez Cecilia¹,Méndez-Cruz Carlos-Francisco¹,Collado-Vides Julio¹

Affiliation:

1. Programa de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100, Mexico

2. Swiss Institute of Bioinformatics and Institute of Computational Linguistics, University of Zurich, Andreasstrasse 15, Zurich 8050, Switzerland

Funder

NIH Office of the Director

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

http://academic.oup.com/database/article-pdf/doi/10.1093/database/bax012/19231098/bax012.pdf

Reference28 articles.

1. Biocreative III interactive task: an overview;Arighi;BMC Bioinf,2011

2. Improving biocuration of microRNAs in diseases: a case study in idiopathic pulmonary fibrosis;Balderas-Martínez;Database: J. Biol. Databases Curation,2017

3. RegulonDB version 7.0: transcriptional regulation of Escherichia coli K-12 integrated within genetic sensory response units (Gensor Units);Gama-Castro;Nucleic Acids Res,2011

4. Assisted curation of regulatory interactions and growth conditions of OxyR in E. coli K-12;Gama-Castro;Database: J. Biol. Databases Curation,2014

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