CEQer
Application data |
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Created by | Piazza Rocco |
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Biological application domain(s) | Exome analysis, Copy number estimation, Genetic variation analysis |
Technology | Any |
Created at | University of Milano-Bicocca |
Maintained? | Yes |
Input format(s) | SAM/BAM, Pileup |
Output format(s) | Graphical |
Software features | Copy number and allelic imbalance analyses from matched exomes. |
Programming language(s) | C# |
Interface type(s) | Command line |
Resource type(s) | Command-line tool |
Licence | GPLv3 |
Operating system(s) | Windows, Mac, Linux |
Contact: | rocco.piazza@unimib.it |
Summary: CEQer (Comparative Exome Quantification analyzer) is a graphical, event-driven tool for copy number abnormalities/allelic-imbalance coupled analysis of whole-exome sequencing data. By using case-control matched exome data, CEQer performs a comparative digital exonic quantification to generate CNA data and couples this information with exome-wide LOH and allelic imbalance detection. 200px|right
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Description
Copy number alterations (CNA) are common events occurring in leukaemias and solid tumors. Comparative Genome Hybridization (CGH) is actually the gold standard technique to analyze CNAs; however, CGH analysis requires dedicated instruments and is able to perform only low resolution Loss of Heterozygosity (LOH) analyses. CEQer (Comparative Exome Quantification analyzer) is a graphical, event-driven tool for CNA/allelic-imbalance (AI) coupled analysis of exome sequencing data. By using case-control matched exome data, CEQer performs a comparative digital exonic quantification to generate CNA data and couples this information with exome-wide LOH and allelic imbalance detection. This data is used to build mixed statistical/heuristic models allowing the identification of CNA/AI events.
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