ADTEx
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Application data |
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| Created by | Kaushalya Amarasinghe |
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| Biological application domain(s) | Copy number estimation, Next Generation Sequencing, Cancer biology, Exome analysis |
| Principal bioinformatics method(s) | Statistical calculation |
| Technology | Illumina |
| Created at | The University of Melbourne |
| Maintained? | Yes |
| Input format(s) | BAM, BED |
| Output format(s) | Tab-delimited file |
| Software features | Copy number analysis |
| Programming language(s) | Python, R |
| Interface type(s) | Command line |
| Resource type(s) | Command-line tool |
| Licence | GPLv3 |
| Operating system(s) | GNU/Linux |
Summary: Aberration Detection in Tumour Exome (ADTEx) is a tool for copy number variation (CNV) detection for whole-exome data from paired tumour/matched normal samples.
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Description
ADTEx estimates copy number alterations and genotypes in whole exome capture of tumour/matched normal samples. Main mathematical models used in ADTEx are discrete wavelet transformation and Hidden Markov Models. It predicts copy number changes in each targeted region and genotypes of SNPs.
Links
- ADTEx Homepage [ edit link ]
- ADTEx Manual [ edit link ]
- ADTEx Publication full text [ edit link ]
- ADTEx Manual [ edit link ]
- ADTEx Manual [ edit link ]
- ADTEx Publication full text [ edit link ]
References
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