From genomics to metagenomics

Highlights ► Data analysis is the key limiting factor in metagenomic studies. ► Bioinformatics tools created to analyze genomic data are not necessarily suitable for metagenomic data. ► Tools should cater to the needs of the scientist of the field (metagenomics = microbial ecologists). ► Trend in me...

Full description

Saved in:
Bibliographic Details
Published in:Current opinion in biotechnology 2012-02, Vol.23 (1), p.72-76
Main Authors: Desai, Narayan, Antonopoulos, Dion, Gilbert, Jack A, Glass, Elizabeth M, Meyer, Folker
Format: Article
Language:English
Subjects:
Algorithms
analysis
Computational Biology - economics
Computational Biology - methods
data collection
Genomics
High-Throughput Nucleotide Sequencing
Humans
Information Dissemination
Internal Medicine
metagenomics
Metagenomics - methods
microbial communities
Sequence Analysis, DNA
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights ► Data analysis is the key limiting factor in metagenomic studies. ► Bioinformatics tools created to analyze genomic data are not necessarily suitable for metagenomic data. ► Tools should cater to the needs of the scientist of the field (metagenomics = microbial ecologists). ► Trend in metagenomics analysis is toward reducing computational costs through improved algorithms and through analysis strategies. ► Data sharing and interoperability between tools are critical, since computation for metagenomic datasets is very high.
ISSN:0958-1669
1879-0429
DOI:10.1016/j.copbio.2011.12.017