General Information
| Description | Detection of recurrent allelic imbalance in tumors using whole-exome sequencing data |
| Homepage | http://genomequebec.mcgill.ca/exomeai |
Publications
ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data
Summary:
Whole-exome sequencing (WES) has extensively been used in cancer genome studies; however, the use of WES data in the study of loss of heterozygosity or more generally allelic imbalance (AI) has so far been very limited, which highlights the need for user-friendly and flexible software that can handle low-quality datasets. We have developed a statistical approach, ExomeAI, for the detection of recurrent AI events using WES datasets, specifically where matched normal samples are not available.
Availability:
ExomeAI is a web-based application, publicly available at: http://genomequebec.mcgill.ca/exomeai .
Contact:
JavadNadaf@gmail.com or somayyeh.fahiminiya@mcgill.ca
Supplementary information:
Supplementary data are available at Bioinformatics online.
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