Linked Life Data

21030462

Source:http://linkedlifedata.com/resource/pubmed/id/21030462

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-12-23
pubmed:abstractText
Compared with composition-based binning algorithms, the binning accuracy and specificity of alignment-based binning algorithms is significantly higher. However, being alignment-based, the latter class of algorithms require enormous amount of time and computing resources for binning huge metagenomic datasets. The motivation was to develop a binning approach that can analyze metagenomic datasets as rapidly as composition-based approaches, but nevertheless has the accuracy and specificity of alignment-based algorithms. This article describes a hybrid binning approach (SPHINX) that achieves high binning efficiency by utilizing the principles of both 'composition'- and 'alignment'-based binning algorithms.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
22-30
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
SPHINX--an algorithm for taxonomic binning of metagenomic sequences.
pubmed:affiliation
Bio-sciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Limited, Madhapur, Hyderabad, Andhra Pradesh, India.
pubmed:publicationType
Journal Article, Validation Studies