Hybrid cloud and cluster computing paradigms for life science applications.
about
Genetic data and electronic health records: a discussion of ethical, logistical and technological considerationsOpportunities and challenges for the life sciences communityOSWALD: OpenCL Smith-Waterman on Alteras FPGA for Large Protein DatabasesAn overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformaticsCUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions.Bioinformatics on the cloud computing platform Azure.VariantSpark: population scale clustering of genotype information.Now and next-generation sequencing techniques: future of sequence analysis using cloud computing.Designing a parallel evolutionary algorithm for inferring gene networks on the cloud computing environment.TopoLens
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Hybrid cloud and cluster computing paradigms for life science applications.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Hybrid cloud and cluster computing paradigms for life science applications.
@ast
Hybrid cloud and cluster computing paradigms for life science applications.
@en
type
label
Hybrid cloud and cluster computing paradigms for life science applications.
@ast
Hybrid cloud and cluster computing paradigms for life science applications.
@en
prefLabel
Hybrid cloud and cluster computing paradigms for life science applications.
@ast
Hybrid cloud and cluster computing paradigms for life science applications.
@en
P2093
P1433
P1476
Hybrid cloud and cluster computing paradigms for life science applications.
@en
P2093
Adam Hughes
Bingjing Zhang
Geoffrey Fox
Jaliya Ekanayake
Jong Youl Choi
Saliya Ekanayake
Seung-Hee Bae
Tak-Lon Wu
P2888
P356
10.1186/1471-2105-11-S12-S3
P478
11 Suppl 12
P577
2010-12-21T00:00:00Z
P6179
1043261293