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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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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


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