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FASMA: A Service to Format and Analyze Sequences in Multiple Alignments
Multiple sequence alignments are successfully applied in many studies for understanding the structural and functional relations among single nucleic acids and protein sequences as well as whole families. Because of the rapid growth of sequence databases, multiple sequence alignments can often be ver...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054218/ https://www.ncbi.nlm.nih.gov/pubmed/18267307 http://dx.doi.org/10.1016/S1672-0229(08)60013-3 |
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author | Costantini, Susan Colonna, Giovanni Facchiano, Angelo M. |
author_facet | Costantini, Susan Colonna, Giovanni Facchiano, Angelo M. |
author_sort | Costantini, Susan |
collection | PubMed |
description | Multiple sequence alignments are successfully applied in many studies for understanding the structural and functional relations among single nucleic acids and protein sequences as well as whole families. Because of the rapid growth of sequence databases, multiple sequence alignments can often be very large and difficult to visualize and analyze. We offer a new service aimed to visualize and analyze the multiple alignments obtained with different external algorithms, with new features useful for the comparison of the aligned sequences as well as for the creation of a final image of the alignment. The service is named FASMA and is available at http://bioinformatica.isa.cnr.it/FASMA/. |
format | Online Article Text |
id | pubmed-5054218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50542182016-10-14 FASMA: A Service to Format and Analyze Sequences in Multiple Alignments Costantini, Susan Colonna, Giovanni Facchiano, Angelo M. Genomics Proteomics Bioinformatics Application Note Multiple sequence alignments are successfully applied in many studies for understanding the structural and functional relations among single nucleic acids and protein sequences as well as whole families. Because of the rapid growth of sequence databases, multiple sequence alignments can often be very large and difficult to visualize and analyze. We offer a new service aimed to visualize and analyze the multiple alignments obtained with different external algorithms, with new features useful for the comparison of the aligned sequences as well as for the creation of a final image of the alignment. The service is named FASMA and is available at http://bioinformatica.isa.cnr.it/FASMA/. Elsevier 2007 2008-02-08 /pmc/articles/PMC5054218/ /pubmed/18267307 http://dx.doi.org/10.1016/S1672-0229(08)60013-3 Text en © 2007 Beijing Institute of Genomics http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Application Note Costantini, Susan Colonna, Giovanni Facchiano, Angelo M. FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title | FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title_full | FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title_fullStr | FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title_full_unstemmed | FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title_short | FASMA: A Service to Format and Analyze Sequences in Multiple Alignments |
title_sort | fasma: a service to format and analyze sequences in multiple alignments |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054218/ https://www.ncbi.nlm.nih.gov/pubmed/18267307 http://dx.doi.org/10.1016/S1672-0229(08)60013-3 |
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