Cargando…
MICO: A meta-tool for prediction of the effects of non-synonymous mutations
The Next Generation Sequencing (NGS) is a state-of-the-art technology that produces high throughput data with high resolution mutation information in the genome. Numerous methods with different efficiencies have been developed to predict mutational effects in the genome. The challenge is to present...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4135298/ https://www.ncbi.nlm.nih.gov/pubmed/25187690 http://dx.doi.org/10.6026/97320630010469 |
_version_ | 1782330976417873920 |
---|---|
author | Lee, Gilliean Chen, Chin-Fu |
author_facet | Lee, Gilliean Chen, Chin-Fu |
author_sort | Lee, Gilliean |
collection | PubMed |
description | The Next Generation Sequencing (NGS) is a state-of-the-art technology that produces high throughput data with high resolution mutation information in the genome. Numerous methods with different efficiencies have been developed to predict mutational effects in the genome. The challenge is to present the results in a balanced manner for better biological insights and interpretation. Hence, we describe a meta-tool named Mutation Information Collector (MICO) for automatically querying and collecting related information from multiple biology/bioinformatics enabled web servers with prediction capabilities. The predicted mutational results for the proteins of interest are returned and presented as an easy-to-read summary table in this service. MICO also allows for navigating the result from each website for further analysis. AVAILABILITY: http: //mico.ggc.org /MICO |
format | Online Article Text |
id | pubmed-4135298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-41352982014-09-03 MICO: A meta-tool for prediction of the effects of non-synonymous mutations Lee, Gilliean Chen, Chin-Fu Bioinformation Software The Next Generation Sequencing (NGS) is a state-of-the-art technology that produces high throughput data with high resolution mutation information in the genome. Numerous methods with different efficiencies have been developed to predict mutational effects in the genome. The challenge is to present the results in a balanced manner for better biological insights and interpretation. Hence, we describe a meta-tool named Mutation Information Collector (MICO) for automatically querying and collecting related information from multiple biology/bioinformatics enabled web servers with prediction capabilities. The predicted mutational results for the proteins of interest are returned and presented as an easy-to-read summary table in this service. MICO also allows for navigating the result from each website for further analysis. AVAILABILITY: http: //mico.ggc.org /MICO Biomedical Informatics 2014-07-22 /pmc/articles/PMC4135298/ /pubmed/25187690 http://dx.doi.org/10.6026/97320630010469 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Software Lee, Gilliean Chen, Chin-Fu MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title | MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title_full | MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title_fullStr | MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title_full_unstemmed | MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title_short | MICO: A meta-tool for prediction of the effects of non-synonymous mutations |
title_sort | mico: a meta-tool for prediction of the effects of non-synonymous mutations |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4135298/ https://www.ncbi.nlm.nih.gov/pubmed/25187690 http://dx.doi.org/10.6026/97320630010469 |
work_keys_str_mv | AT leegilliean micoametatoolforpredictionoftheeffectsofnonsynonymousmutations AT chenchinfu micoametatoolforpredictionoftheeffectsofnonsynonymousmutations |