TFInfer: a tool for probabilistic inference of transcription factor activities
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BiBTeXSUMMARY: TFInfer is a novel open access, standalone tool for genome-wide inference of transcription factor activities from gene expression data. Based on an earlier MATLAB version, the software has now been extended in a number of ways. It has been significantly optimised in terms of performance, and it was given novel functionality, by allowing the user to model both time series and data from multiple independent conditions. With a full documentation and intuitive graphical user interface, together with an in-built data base of yeast and Escherichia coli transcription factors, the software does not require any mathematical or computational expertise to be used effectively. AVAILABILITY: http://homepages.inf.ed.ac.uk/gsanguin/TFInfer.html CONTACT: gsanguin@staffmail.ed.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SEEK ID: https://fairdomhub.org/publications/87
PubMed ID: 20739311
Projects: SUMO
Publication type: Not specified
Journal: Bioinformatics
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Date Published: 24th Aug 2010
Registered Mode: Not specified
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Created: 21st Oct 2010 at 17:55
Last updated: 8th Dec 2022 at 17:26
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Projects: SUMO
Institutions: University of Sheffield
The major theme of the research in my laboratory is bacterial gene regulation. We are interested in signal perception mechanisms (in particular oxygen); signal transduction (ligand induced protein confromational changes); interaction of transcription factors with the core transcription machinery; interactions between transcription factors to integrate multiple signals; and the influence of promoter architectures on these events. We are also interested in aome aspects of post-transcriptional ...
Projects: SUMO
Institutions: University of Sheffield
I am a post-doctoral research associate working in Sheffield in the SUMO consortium. My research focuses on transcriptional regulation in E. coli, with particular emaphasis on the transcriptomic analysis of steady-state chemostat cultures using both microarray and qRT-PCR approaches.
Previous experience, especially that gained during my PhD, involved work on Salmonella physiology and lag phase growth, focusing particularly on gene-expression and transcriptional regulation. Other techniques used ...
Projects: SUMO
Institutions: University of Edinburgh
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
"Systems Understanding of Microbial Oxygen responses" (SUMO) investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling ...
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=55
The transcriptional profiles of steady state E. coli cultures at a range of aerobiosis levels were determined. Two biological replicates and two technical replicates were carried out. Microarrays were carried out in a reference style (i.e. RNA vs a gDNA reference).
Submitter: Matthew Rolfe
Assay type: Transcriptomics
Technology type: Microarray
Investigation: Steady state studies for different oxygen avail...
Transcriptional profiles of steady-state chemostat cultures were measured at a range of oxygen levels using microarrays. Oxygen levels were defined by the aerobiosis scale of Alexeeva et al. (2002).
Creator: Matthew Rolfe
Submitter: Matthew Rolfe
Bayesian model for inference of the activity of transcription factors from targets' mRNA levels. A standalone C sharp package (runs on linux and mac under MONO).
Creator: Guido Sanguinetti
Submitter: Guido Sanguinetti
Model type: Not specified
Model format: Not specified
Environment: Not specified
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