SCExV: a webtool for the analysis and visualisation of single cell qRT-PCR data
| Autor: | Eva Erlandsson, Shamit Soneji, Stefan Lang, David Bryder, Amol Ugale, Göran Karlsson |
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| Rok vydání: | 2015 |
| Předmět: |
Single cells
Computer science FACS Cell Real-Time Polymerase Chain Reaction computer.software_genre Biochemistry Visualisation Mice User-Computer Interface chemistry.chemical_compound Immunophenotyping Software Structural Biology Gene expression medicine Animals Biomedical Laboratory Science/Technology Molecular Biology Internet Index sorting business.industry Stem Cells Applied Mathematics Webtool Sorting qRT-PCR DNA Expression (computer science) Computer Science Applications Visualization Real-time polymerase chain reaction medicine.anatomical_structure chemistry Filter (video) Data mining DNA microarray business computer |
| Zdroj: | BMC Bioinformatics BMC Bioinformatics; 16, no 320 (2015) |
| ISSN: | 1471-2105 |
| DOI: | 10.1186/s12859-015-0757-z |
| Popis: | Background: 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. Results: We present the Single cell expression visualiser (SCExV), a webtool developed to expedite the analysis of single cell qRT-PCR data. SCExV is able to take any data matrix of Ct values as an input, but can handle files exported by the Fluidigm Biomark platform directly. In addition, SCExV also accepts and automatically integrates cell surface marker intensity values which are measured during index sorting. This allows the user to directly visualise relationships between a single cell gene expression profile and the immunophenotype of the interrogated cell. Conclusions: SCExV is a freely available webtool created to import, filter, analyse, and visualise single cell gene expression data whilst being able to simultaneously consider cellular immunophenotype. SCExV is designed to be intuitive to use whilst maintaining advanced functionality and flexibility in how analyses are performed. |
| Databáze: | OpenAIRE |
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