دورية أكاديمية
أعرض في EDS

Get the most out of your metagenome: computational analysis of environmental sequence data.

التفاصيل البيبلوغرافية
العنوان: Get the most out of your metagenome: computational analysis of environmental sequence data.
المؤلفون: Raes J; European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany., Foerstner KU, Bork P
المصدر: Current opinion in microbiology [Curr Opin Microbiol] 2007 Oct; Vol. 10 (5), pp. 490-8. Date of Electronic Publication: 2007 Oct 23.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't; Review
اللغة: English
بيانات الدورية: Publisher: Current Biology Country of Publication: England NLM ID: 9815056 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1369-5274 (Print) Linking ISSN: 13695274 NLM ISO Abbreviation: Curr Opin Microbiol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London ; New York : Current Biology, c1998-
مواضيع طبية MeSH: Environmental Microbiology*, Genomics/*methods, Aminohydrolases/chemistry ; Aminohydrolases/classification ; Aminohydrolases/genetics ; Biodiversity ; Computational Biology ; Genomics/standards ; Phylogeny ; Sequence Analysis, DNA/methods
مستخلص: New advances in sequencing technologies bring random shotgun sequencing of ecosystems within reach of smaller labs, but the complexity of metagenomics data can be overwhelming. Recently, many novel computational tools have been developed to unravel ecosystem properties starting from fragmented sequences. In addition, the so-called 'comparative metagenomics' approaches have allowed the discovery of specific genomic and community adaptations to environmental factors. However, many of the parameters extracted from these data to describe the environment at hand (e.g. genomic features, functional complement, phylogenetic composition) are interdependent and influenced by technical aspects of sample preparation and data treatment, leading to various pitfalls during analysis. To avoid this and complement existing initiatives in data standards, we propose a minimal standard for metagenomics data analysis ('MINIMESS') to be able to take full advantage of the power of comparative metagenomics in understanding microbial life on earth.
Number of References: 63
المشرفين على المادة: EC 3.5.4.- (Aminohydrolases)
EC 3.5.5.1 (nitrilase)
تواريخ الأحداث: Date Created: 20071016 Date Completed: 20080124 Latest Revision: 20071112
رمز التحديث: 20231215
DOI: 10.1016/j.mib.2007.09.001
PMID: 17936679
قاعدة البيانات: MEDLINE
الوصف
تدمد:1369-5274
DOI:10.1016/j.mib.2007.09.001