Cargando…

Computational and Statistical Analysis of Protein Mass Spectrometry Data

High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Noble, William Stafford, MacCoss, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266873/
https://www.ncbi.nlm.nih.gov/pubmed/22291580
http://dx.doi.org/10.1371/journal.pcbi.1002296
_version_ 1782222215473790976
author Noble, William Stafford
MacCoss, Michael J.
author_facet Noble, William Stafford
MacCoss, Michael J.
author_sort Noble, William Stafford
collection PubMed
description High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computational and statistical problems in the field and then describe a variety of outstanding problems that readers of PLoS Computational Biology might be able to help solve.
format Online
Article
Text
id pubmed-3266873
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32668732012-01-30 Computational and Statistical Analysis of Protein Mass Spectrometry Data Noble, William Stafford MacCoss, Michael J. PLoS Comput Biol Review High-throughput proteomics experiments involving tandem mass spectrometry produce large volumes of complex data that require sophisticated computational analyses. As such, the field offers many challenges for computational biologists. In this article, we briefly introduce some of the core computational and statistical problems in the field and then describe a variety of outstanding problems that readers of PLoS Computational Biology might be able to help solve. Public Library of Science 2012-01-26 /pmc/articles/PMC3266873/ /pubmed/22291580 http://dx.doi.org/10.1371/journal.pcbi.1002296 Text en Noble, MacCoss. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Review
Noble, William Stafford
MacCoss, Michael J.
Computational and Statistical Analysis of Protein Mass Spectrometry Data
title Computational and Statistical Analysis of Protein Mass Spectrometry Data
title_full Computational and Statistical Analysis of Protein Mass Spectrometry Data
title_fullStr Computational and Statistical Analysis of Protein Mass Spectrometry Data
title_full_unstemmed Computational and Statistical Analysis of Protein Mass Spectrometry Data
title_short Computational and Statistical Analysis of Protein Mass Spectrometry Data
title_sort computational and statistical analysis of protein mass spectrometry data
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266873/
https://www.ncbi.nlm.nih.gov/pubmed/22291580
http://dx.doi.org/10.1371/journal.pcbi.1002296
work_keys_str_mv AT noblewilliamstafford computationalandstatisticalanalysisofproteinmassspectrometrydata
AT maccossmichaelj computationalandstatisticalanalysisofproteinmassspectrometrydata