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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Gilliean, Chen, Chin-Fu
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