Linked Life Data

21487532

Source:http://linkedlifedata.com/resource/pubmed/id/21487532

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2011-4-13
pubmed:abstractText
Next-generation sequencing (NGS) methods pose computational challenges of handling large volumes of data. Although cloud computing offers a potential solution to these challenges, transferring a large data set across the internet is the biggest obstacle, which may be overcome by efficient encoding methods. When encoding is used to facilitate data transfer to the cloud, the time factor is equally as important as the encoding efficiency. Moreover, to take advantage of parallel processing in cloud computing, a parallel technique to decode and split compressed data in the cloud is essential. Hence in this review, we present SOLiDzipper, a new encoding method for NGS data.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1176-9343
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1-6
pubmed:dateRevised
2011-7-28
pubmed:year
2011
pubmed:articleTitle
SOLiDzipper: A High Speed Encoding Method for the Next-Generation Sequencing Data.
pubmed:affiliation
SDLAB, Gachon University of Medicine and Science, 406-799 Yeonsu-dong, Incheon, Korea.
pubmed:publicationType
Journal Article