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Current Comparative Table (CCT) automates customized searches of dynamic biological databases

The Current Comparative Table (CCT) software program enables working biologists to automate customized bioinformatics searches, typically of remote sequence or HMM (hidden Markov model) databases. CCT currently supports BLAST, hmmpfam and other programs useful for gene and ortholog identification. T...

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Detalles Bibliográficos
Autores principales: Landsteiner, Benjamin R., Olson, Michael R., Rutherford, Robert
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160193/
https://www.ncbi.nlm.nih.gov/pubmed/15980582
http://dx.doi.org/10.1093/nar/gki432
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author Landsteiner, Benjamin R.
Olson, Michael R.
Rutherford, Robert
author_facet Landsteiner, Benjamin R.
Olson, Michael R.
Rutherford, Robert
author_sort Landsteiner, Benjamin R.
collection PubMed
description The Current Comparative Table (CCT) software program enables working biologists to automate customized bioinformatics searches, typically of remote sequence or HMM (hidden Markov model) databases. CCT currently supports BLAST, hmmpfam and other programs useful for gene and ortholog identification. The software is web based, has a BioPerl core and can be used remotely via a browser or locally on Mac OS X or Linux machines. CCT is particularly useful to scientists who study large sets of molecules in today's evolving information landscape because it color-codes all result files by age and highlights even tiny changes in sequence or annotation. By empowering non-bioinformaticians to automate custom searches and examine current results in context at a glance, CCT allows a remote database submission in the evening to influence the next morning's bench experiment. A demonstration of CCT is available at and the open source software is freely available from .
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spelling pubmed-11601932005-06-29 Current Comparative Table (CCT) automates customized searches of dynamic biological databases Landsteiner, Benjamin R. Olson, Michael R. Rutherford, Robert Nucleic Acids Res Article The Current Comparative Table (CCT) software program enables working biologists to automate customized bioinformatics searches, typically of remote sequence or HMM (hidden Markov model) databases. CCT currently supports BLAST, hmmpfam and other programs useful for gene and ortholog identification. The software is web based, has a BioPerl core and can be used remotely via a browser or locally on Mac OS X or Linux machines. CCT is particularly useful to scientists who study large sets of molecules in today's evolving information landscape because it color-codes all result files by age and highlights even tiny changes in sequence or annotation. By empowering non-bioinformaticians to automate custom searches and examine current results in context at a glance, CCT allows a remote database submission in the evening to influence the next morning's bench experiment. A demonstration of CCT is available at and the open source software is freely available from . Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160193/ /pubmed/15980582 http://dx.doi.org/10.1093/nar/gki432 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Landsteiner, Benjamin R.
Olson, Michael R.
Rutherford, Robert
Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title_full Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title_fullStr Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title_full_unstemmed Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title_short Current Comparative Table (CCT) automates customized searches of dynamic biological databases
title_sort current comparative table (cct) automates customized searches of dynamic biological databases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160193/
https://www.ncbi.nlm.nih.gov/pubmed/15980582
http://dx.doi.org/10.1093/nar/gki432
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