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.

• Författare: Stefan Lang; Amol Ugale; Eva Erlandsson; Göran Karlsson; David Bryder; Shamit Soneji
• Avdelning/ar: Avdelningen för molekylär hematologi; Conputational Genomics Group; Stem Cells and Leukemia; StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
• Publiceringsår: 2015
• Språk: Engelska
• Publikation/Tidskrift/Serie: BMC Bioinformatics
• Volym: 16
• Fulltext: - 2 MB; Download statistics
• Länkar: http://www.ncbi.nlm.nih.gov/pubmed/26437766?dopt=Abstract; http://dx.doi.org/10.1186/s12859-015-0757-z
• Dokumenttyp: Artikel i tidskrift
• Förlag: BioMed Central (BMC)
• Ämne: Biomedical Laboratory Science/Technology
• Status: Published
• Forskningsgrupp: Conputational Genomics Group; Stem Cells and Leukemia
• ISBN/ISSN/Övrigt: ISSN: 1471-2105