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The next meta-challenge for Bioinformatics
The direct sequencing of uncultivable organisms present in complex biological and environmental samples has opportunities to discover new life forms and metabolic processes. This transformational field, known as metagenomics, is generating massive amounts of molecular information that can overwhelm...
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2478737/ https://www.ncbi.nlm.nih.gov/pubmed/18685725 |
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author | Valdivia-Granda, Willy |
author_facet | Valdivia-Granda, Willy |
author_sort | Valdivia-Granda, Willy |
collection | PubMed |
description | The direct sequencing of uncultivable organisms present in complex biological and environmental samples has opportunities to discover new life forms and metabolic processes. This transformational field, known as metagenomics, is generating massive amounts of molecular information that can overwhelm the performance of conventional analysis and visualization algorithms. Here, I briefly highlight some of the emerging challenges this new discipline presents to the computational biology community and point some of the opportunities to develop applications that can translate metagenomic information into biomedical, agricultural, environmental, and industrial applications. |
format | Text |
id | pubmed-2478737 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-24787372008-08-06 The next meta-challenge for Bioinformatics Valdivia-Granda, Willy Bioinformation Views & Challenges The direct sequencing of uncultivable organisms present in complex biological and environmental samples has opportunities to discover new life forms and metabolic processes. This transformational field, known as metagenomics, is generating massive amounts of molecular information that can overwhelm the performance of conventional analysis and visualization algorithms. Here, I briefly highlight some of the emerging challenges this new discipline presents to the computational biology community and point some of the opportunities to develop applications that can translate metagenomic information into biomedical, agricultural, environmental, and industrial applications. Biomedical Informatics Publishing Group 2008-05-29 /pmc/articles/PMC2478737/ /pubmed/18685725 Text en © 2008 Biomedical Informatics Publishing Group 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 | Views & Challenges Valdivia-Granda, Willy The next meta-challenge for Bioinformatics |
title | The next meta-challenge for Bioinformatics |
title_full | The next meta-challenge for Bioinformatics |
title_fullStr | The next meta-challenge for Bioinformatics |
title_full_unstemmed | The next meta-challenge for Bioinformatics |
title_short | The next meta-challenge for Bioinformatics |
title_sort | next meta-challenge for bioinformatics |
topic | Views & Challenges |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2478737/ https://www.ncbi.nlm.nih.gov/pubmed/18685725 |
work_keys_str_mv | AT valdiviagrandawilly thenextmetachallengeforbioinformatics AT valdiviagrandawilly nextmetachallengeforbioinformatics |