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DNA sequencing / Binning / Shotgun sequencing / Archaeal Richmond Mine acidophilic nanoorganisms / Human Microbiome Project / Biology / Molecular biology / Microbiology


MetaCluster 4.0: A Novel Binning Algorithm for NGS Reads and Huge Number of Species
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Document Date: 2012-02-07 01:17:19

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City

WANG ET / Chicago / /

Company

After Phase 1 / Intel / Abundance / Mary Ann Liebert Inc. / /

Country

China / Denmark / /

Currency

GBP / /

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Event

FDA Phase / /

Facility

Chow Yei Ching Building The University of Hong Kong Pokfulam Road Hong Kong E-mail / The University of Hong Kong / pipeline of MetaCluster / /

IndustryTerm

unsupervised binning algorithm / Recent binning tools / binary search / binary search approach / k-mean clustering algorithm / /

Organization

University of Hong Kong / Hong Kong / Department of Computer Science / University of Hong Kong Pokfulam Road Hong Kong E-mail / /

Person

Meta Cluster / HENRY C.M. LEUNG / FRANCIS Y.L. CHIN ABSTRACT / Nat / Manukyan / Francis Y.L. Chin / /

Position

G.P. / Prime Minister / Major / multi-dimensional mixture model for clustering metagenomic sequences / /

Product

MetaCluster 3.0 / Family-Genus Level Dataset / Genus-Species Level Dataset / Genus-Species Level No / /

ProvinceOrState

Alabama / Rhode Island / /

PublishedMedium

PLoS ONE / Nature Biotechnology / /

Technology

genomics / Bioinformatics / existing binning algorithm / Biotechnology / binning algorithm / DNA sequencing / unsupervised binning algorithm / k-mean clustering algorithm / NGS technologies / composition-based algorithm / length NGS technologies / Illumina Genome Analyzer technology / /

URL

http /

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