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SCExV: a webtool for the analysis and visualisation of single cell qRT-PCR data.

Lang, Stefan LU ; Ugale, Amol LU ; Erlandsson, Eva LU ; Karlsson, Göran LU ; Bryder, David LU and Soneji, Shamit LU (2015) In BMC Bioinformatics 16.
Abstract
Single cell gene expression assays have become a powerful tool with which to dissect heterogeneous populations. While methods and software exist to interrogate such data, what has been lacking is a unified solution combining analysis and visualisation which is also accessible and intuitive for use by non-bioinformaticians, as well as bioinformaticians.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
BMC Bioinformatics
volume
16
publisher
BioMed Central
external identifiers
  • pmid:26437766
  • wos:000362250100001
  • scopus:84943172722
ISSN
1471-2105
DOI
10.1186/s12859-015-0757-z
language
English
LU publication?
yes
id
a9ee2733-3fbf-4499-956b-b00f63d9bd07 (old id 8158913)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26437766?dopt=Abstract
date added to LUP
2015-11-02 17:25:51
date last changed
2017-10-22 04:14:39
@article{a9ee2733-3fbf-4499-956b-b00f63d9bd07,
  abstract     = {Single cell gene expression assays have become a powerful tool with which to dissect heterogeneous populations. While methods and software exist to interrogate such data, what has been lacking is a unified solution combining analysis and visualisation which is also accessible and intuitive for use by non-bioinformaticians, as well as bioinformaticians.},
  articleno    = {320},
  author       = {Lang, Stefan and Ugale, Amol and Erlandsson, Eva and Karlsson, Göran and Bryder, David and Soneji, Shamit},
  issn         = {1471-2105},
  language     = {eng},
  publisher    = {BioMed Central},
  series       = {BMC Bioinformatics},
  title        = {SCExV: a webtool for the analysis and visualisation of single cell qRT-PCR data.},
  url          = {http://dx.doi.org/10.1186/s12859-015-0757-z},
  volume       = {16},
  year         = {2015},
}