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DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species

BACKGROUND: Many well-known transcription factor databases do not provide PCR primers for the sequences. Often, transcription factors from the same family have a very high sequence similarity, and so specific primer sets that only amplify their targets and none of the other family members may be har...

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Autor principal: Fredslund, Jakob
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2322997/
https://www.ncbi.nlm.nih.gov/pubmed/18366738
http://dx.doi.org/10.1186/1471-2164-9-140
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author Fredslund, Jakob
author_facet Fredslund, Jakob
author_sort Fredslund, Jakob
collection PubMed
description BACKGROUND: Many well-known transcription factor databases do not provide PCR primers for the sequences. Often, transcription factors from the same family have a very high sequence similarity, and so specific primer sets that only amplify their targets and none of the other family members may be hard to design manually. Also, it may often be useful to have one general primer set targeting the slightly different homologs of some transcription factor from several species. RESULTS: DATFAP is a free, web-based, very user-friendly browsing tool based on a new database of more than 55,000 EST sequences from 13 plant species, classified as transcription factors. Further, the database offers primers designed for RealTime-PCR as well as homology alignments and phylogenies for the sequences. The provided PCR primers are designed so that they have a perfect sequence alignment to their target only and not to any other sequences in the database from the same species. Via a direct link to a helper tool, the user may also design a general primer set targeting all sequences in any hand-picked group of homologs. A sophisticated search facility enables the user to find exactly the relevant sequences which subsequently may be easily downloaded. All homologies among the more than one billion possible pairwise sequence comparisons of DATFAP have been charted in advance. Thus, the user may quickly display the alignment of any sequence and all its database homologs. CONCLUSION: Because of the comprehensive homology analysis, it is very easy to find related transcription factors from different species, i.e. to navigate the network of inter-related transcription factors from the different species, and to find specific or general primers for them. DATFAP is found at the project homepage.
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spelling pubmed-23229972008-04-18 DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species Fredslund, Jakob BMC Genomics Database BACKGROUND: Many well-known transcription factor databases do not provide PCR primers for the sequences. Often, transcription factors from the same family have a very high sequence similarity, and so specific primer sets that only amplify their targets and none of the other family members may be hard to design manually. Also, it may often be useful to have one general primer set targeting the slightly different homologs of some transcription factor from several species. RESULTS: DATFAP is a free, web-based, very user-friendly browsing tool based on a new database of more than 55,000 EST sequences from 13 plant species, classified as transcription factors. Further, the database offers primers designed for RealTime-PCR as well as homology alignments and phylogenies for the sequences. The provided PCR primers are designed so that they have a perfect sequence alignment to their target only and not to any other sequences in the database from the same species. Via a direct link to a helper tool, the user may also design a general primer set targeting all sequences in any hand-picked group of homologs. A sophisticated search facility enables the user to find exactly the relevant sequences which subsequently may be easily downloaded. All homologies among the more than one billion possible pairwise sequence comparisons of DATFAP have been charted in advance. Thus, the user may quickly display the alignment of any sequence and all its database homologs. CONCLUSION: Because of the comprehensive homology analysis, it is very easy to find related transcription factors from different species, i.e. to navigate the network of inter-related transcription factors from the different species, and to find specific or general primers for them. DATFAP is found at the project homepage. BioMed Central 2008-03-25 /pmc/articles/PMC2322997/ /pubmed/18366738 http://dx.doi.org/10.1186/1471-2164-9-140 Text en Copyright © 2008 Fredslund; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Fredslund, Jakob
DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title_full DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title_fullStr DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title_full_unstemmed DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title_short DATFAP: A Database of Primers and Homology Alignments for Transcription Factors from 13 Plant Species
title_sort datfap: a database of primers and homology alignments for transcription factors from 13 plant species
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2322997/
https://www.ncbi.nlm.nih.gov/pubmed/18366738
http://dx.doi.org/10.1186/1471-2164-9-140
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