Isabel Sá-Correia
Orcid: 0000-0003-2208-5183
According to our database1,
Isabel Sá-Correia
authored at least 12 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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Bibliography
2023
YEASTRACT+: a portal for the exploitation of global transcription regulation and metabolic model data in yeast biotechnology and pathogenesis.
Nucleic Acids Res., January, 2023
2021
From a genome assembly to full regulatory network prediction: the case study of Rhodotorula toruloides putative Haa1-regulon.
BMC Bioinform., 2021
2020
YEASTRACT+: a portal for cross-species comparative genomics of transcription regulation in yeasts.
Nucleic Acids Res., 2020
2018
YEASTRACT: an upgraded database for the analysis of transcription regulatory networks in Saccharomyces cerevisiae.
Nucleic Acids Res., 2018
2017
The PathoYeastract database: an information system for the analysis of gene and genomic transcription regulation in pathogenic yeasts.
Nucleic Acids Res., 2017
2014
The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in <i>Saccharomyces cerevisiae</i>.
Nucleic Acids Res., 2014
2011
YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in <i>Saccharomyces cerevisiae</i> through a web services interface.
Nucleic Acids Res., 2011
TFRank: network-based prioritization of regulatory associations underlying transcriptional responses.
Bioinform., 2011
2010
Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
2008
YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in <i>Saccharomyces cerevisiae</i>.
Nucleic Acids Res., 2008
2006
The YEASTRACT database: a tool for the analysis of transcription regulatory associations in <i>Saccharomyces cerevisiae</i>.
Nucleic Acids Res., 2006
MUSA: a parameter free algorithm for the identification of biologically significant motifs.
Bioinform., 2006