targetfinder.org
Welcome to Targetfinder.orgTargetfinder.org find your transcription factor targets
http://www.targetfinder.org/
Targetfinder.org find your transcription factor targets
http://www.targetfinder.org/
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Welcome to Targetfinder.org | targetfinder.org Reviews
https://targetfinder.org
Targetfinder.org find your transcription factor targets
targetfinder.org
Features
http://www.targetfinder.org/index.php/features
Automatic conversion of mixed input. You may provide input lists in various formats that might be mixed. Possible formats for the human example gene Mitogen-activated protein kinase 1. Also known as MAPK1. Ensembl Gene ID, e.g.: ENSG000000102. Genes Entez ID of NCBI, e.g.: 5594. Plain gene abreviation, e.g.: MAPK1. Combined display of ranking. Transcription factor: MYCMAX 01. Affinityrank cut off: 0.1. Maximum in Rank Liste: 500. Less than 0.005. Less than 0.01. Less than 0.02. Less than 0.05.
Find targets!
http://www.targetfinder.org/index.php/findtargets
Please provide ids or gene names of known targets of your transcription factor: Valid entries are Ensembl Gene ID, e.g.: ENSG000000102, Genes Entez ID of NCBI, e.g.: 5594, or plain gene name abreviation, e.g.: MAPK1. The IDs may be separated by komma, semicolon, space, tab, or newline characters. Or a file with Gene IDs:. This contatians a list of c-myc targets that might be used as an input to find similar genes. You may apply the Copy/Paste. C) 2012 www.targetfinder.org.
About Targetfinder.org
http://www.targetfinder.org/index.php/about
Targetfinder.org is a web implementation of various algorithms. Population based correlation algorithm of large scale expression data. Binding information of transcription factors and DNA. Linking algorithm for ranked lists. Database and web content algorithms. The following Labs were involved in the computational implementation:. Szymon M. Kiełbasa. Further Michael Fähling was involved. C) 2012 www.targetfinder.org.
Your results
http://www.targetfinder.org/index.php/results
Please provide input first at:. Filter with selected Transcription Factor Affinity. The recovery test is given to check the quality of the ranking. This is the results page. C) 2012 www.targetfinder.org.
Literature
http://www.targetfinder.org/index.php/literature
About the algorithms used on this site:. Seed-based systematic discovery of specific transcription factor target genes by Ralf Mrowka, Nils Blüthgen, and Michael Fähling FEBS J. Statistical modeling of transcription factor binding affinities predicts regulatory interactions. Manke T, Roider HG, Vingron M., PLoS Comput Biol. 2008 Mar 21;4(3):e1000039. [NCBI]. About the prediction of target genes based on sequence information:. 5, 276-287 [NCBI]. Hollenhorst PC, Shah AA, Hopkins C, Graves BJ. Genome-wi...
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Welcome to DataSearch, Sri Lanka's leading data rental and management service provider. If you are targeting a specific market for your next marketing programme or strategizing your overall business plan, your search ends. This contains lists from the corporate sector of Sri Lanka. It includes the commercial and public sector as well as the NGO sector. However please talk to our customer service should you want to create a customized profile of named individuals. Over 1.5 million consumers.
Welcome to Targetfinder.org
Welcome to Targetfinder.org. Do not play games. Thursday, 19 March 2009 22:09. If you are looking for target genes of your favourite transcription factor you are at the right place. Current methods are mainly based on sequence information alone. This classic way will produce a huge amount of false positives.[ Wasserman WW and Sandelin A (2004) Applied bioinformatics for the identification of regulatory elements. Nat. Rev. Genet., 5, 276-287. Last Updated on Friday, 05 February 2010 22:24.
Welcome to Targetfinder.org
Welcome to Targetfinder.org. Do not play games. Thursday, 19 March 2009 22:09. If you are looking for target genes of your favourite transcription factor you are at the right place. Current methods are mainly based on sequence information alone. This classic way will produce a huge amount of false positives.[ Wasserman WW and Sandelin A (2004) Applied bioinformatics for the identification of regulatory elements. Nat. Rev. Genet., 5, 276-287. Last Updated on Friday, 05 February 2010 22:24.
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