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RegulonDB

Most of the times, regulatory elements occur upstream of operons. However, there is a good number of regulatory elements (promoter and binding sites… Expand
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Papers overview

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2013
2013
The amount of scientific papers in the Molecular Biology field has experienced an enormous growth in the last years, prompting… Expand
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2013
2013
Introduction RegulonDB [4] is a database with manually curated knowledge extracted from the literature describing knowledge of… Expand
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2013
2013
This thesis proposes a method to build realistic causal regulatory networks hat has lower false positive rate than traditional… Expand
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2011
2011
The life sciences have a strong need for carefully curated, semantically rich fact repositories. Knowledge harvesting from… Expand
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2010
2010
Since its inception, RegulonDB (http://regulondb.ccg.unam.mx/) has been a database that compiles information about the regulation… Expand
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2009
2009
We explore a rule system and a machine learning (ML) approach to automatically harvest information on gene regulation events… Expand
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2009
2009
Supervised learning methods have been recently exploited to learn gene regulatory networks from gene expression data. They… Expand
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2006
2006
This paper explores the application of feature selection by the Correlation based Feature Selection (CFS) algorithm on the… Expand
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2006
2006
Bacterial genes form clusters of the same transcription polarity and typically exhibit a preference to be coded on the leading… Expand
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2002
2002
The operon, a unit of transcription in prokaryotes, comprises a part of the complicated gene regulatory networks. Thus, the… Expand
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