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

Summary, in English

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.

• Author: Stefan Lang; Amol Ugale; Eva Erlandsson; Göran Karlsson; David Bryder; Shamit Soneji
• Department/s: Division of Molecular Hematology (DMH); Conputational Genomics Group; Stem Cells and Leukemia; StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
• Publishing year: 2015
• Language: English
• Publication/Series: BMC Bioinformatics
• Volume: 16
• Full text: - 2 MB; Download statistics
• Links: http://www.ncbi.nlm.nih.gov/pubmed/26437766?dopt=Abstract; http://dx.doi.org/10.1186/s12859-015-0757-z
• Document type: Journal article
• Publisher: BioMed Central (BMC)
• Topic: Biomedical Laboratory Science/Technology
• Status: Published
• Research group: Conputational Genomics Group; Stem Cells and Leukemia
• ISBN/ISSN/Other: ISSN: 1471-2105