Cargando…
Gemi: PCR Primers Prediction from Multiple Alignments
Designing primers and probes for polymerase chain reaction (PCR) is a preliminary and critical step that requires the identification of highly conserved regions in a given set of sequences. This task can be challenging if the targeted sequences display a high level of diversity, as frequently encoun...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535827/ https://www.ncbi.nlm.nih.gov/pubmed/23316117 http://dx.doi.org/10.1155/2012/783138 |
_version_ | 1782254723934453760 |
---|---|
author | Sobhy, Haitham Colson, Philippe |
author_facet | Sobhy, Haitham Colson, Philippe |
author_sort | Sobhy, Haitham |
collection | PubMed |
description | Designing primers and probes for polymerase chain reaction (PCR) is a preliminary and critical step that requires the identification of highly conserved regions in a given set of sequences. This task can be challenging if the targeted sequences display a high level of diversity, as frequently encountered in microbiologic studies. We developed Gemi, an automated, fast, and easy-to-use bioinformatics tool with a user-friendly interface to design primers and probes based on multiple aligned sequences. This tool can be used for the purpose of real-time and conventional PCR and can deal efficiently with large sets of sequences of a large size. |
format | Online Article Text |
id | pubmed-3535827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-35358272013-01-11 Gemi: PCR Primers Prediction from Multiple Alignments Sobhy, Haitham Colson, Philippe Comp Funct Genomics Research Article Designing primers and probes for polymerase chain reaction (PCR) is a preliminary and critical step that requires the identification of highly conserved regions in a given set of sequences. This task can be challenging if the targeted sequences display a high level of diversity, as frequently encountered in microbiologic studies. We developed Gemi, an automated, fast, and easy-to-use bioinformatics tool with a user-friendly interface to design primers and probes based on multiple aligned sequences. This tool can be used for the purpose of real-time and conventional PCR and can deal efficiently with large sets of sequences of a large size. Hindawi Publishing Corporation 2012 2012-12-19 /pmc/articles/PMC3535827/ /pubmed/23316117 http://dx.doi.org/10.1155/2012/783138 Text en Copyright © 2012 H. Sobhy and P. Colson. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sobhy, Haitham Colson, Philippe Gemi: PCR Primers Prediction from Multiple Alignments |
title | Gemi: PCR Primers Prediction from Multiple Alignments |
title_full | Gemi: PCR Primers Prediction from Multiple Alignments |
title_fullStr | Gemi: PCR Primers Prediction from Multiple Alignments |
title_full_unstemmed | Gemi: PCR Primers Prediction from Multiple Alignments |
title_short | Gemi: PCR Primers Prediction from Multiple Alignments |
title_sort | gemi: pcr primers prediction from multiple alignments |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535827/ https://www.ncbi.nlm.nih.gov/pubmed/23316117 http://dx.doi.org/10.1155/2012/783138 |
work_keys_str_mv | AT sobhyhaitham gemipcrprimerspredictionfrommultiplealignments AT colsonphilippe gemipcrprimerspredictionfrommultiplealignments |