21451520

Source:http://linkedlifedata.com/resource/pubmed/id/21451520

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0887950
pubmed:issue	4
pubmed:dateCreated	2011-3-31
pubmed:abstractText	Methods for genomic analysis at single-cell resolution enable new understanding of complex biological phenomena. Single-cell techniques, ranging from flow cytometry and microfluidics to PCR and sequencing, are used to understand the cellular composition of complex tissues, find new microbial species and perform genome-wide haplotyping.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101215604
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	1548-7105
pubmed:author	pubmed-author:KaliskyTomerT, pubmed-author:QuakeStephen RSR
pubmed:issnType	Electronic
pubmed:volume	8
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	311-4
pubmed:meshHeading	pubmed-meshheading:21451520-Animals, pubmed-meshheading:21451520-Bacteria, pubmed-meshheading:21451520-Gene Expression Regulation, pubmed-meshheading:21451520-Genomics, pubmed-meshheading:21451520-Microfluidic Analytical Techniques, pubmed-meshheading:21451520-Nucleic Acid Amplification Techniques, pubmed-meshheading:21451520-Oligonucleotide Array Sequence Analysis, pubmed-meshheading:21451520-Sequence Analysis, DNA
pubmed:year	2011
pubmed:articleTitle	Single-cell genomics.
pubmed:affiliation	Department of Bioengineering, Stanford University, Stanford, California, USA.
pubmed:publicationType	Journal Article