Free Bio-IT World Webinar: Machine Learning to Detect Cancer Variants
May 4, 2016 by sjwilliamspa
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Accurate detection of somatic mutations has proven to be challenging in cancer NGS analysis, due to tumor heterogeneity and cross-contamination between tumor and matched normal samples. Oftentimes, a somatic caller that performs well for one tumor may not for another.
In this webinar we will introduce SomaticSeq, a tool within the Bina Genomic Management Solution (Bina GMS) designed to boost the accuracy of somatic mutation detection with a machine learning approach. You will learn:
- Benchmarking of leading somatic callers, namely MuTect, SomaticSniper, VarScan2, JointSNVMix2, and VarDict
- Integration of such tools and how accuracy is achieved using a machine learning classifier that incorporates over 70 features with SomaticSeq
- Accuracy validation including results from the ICGC-TCGA DREAM Somatic Mutation Calling Challenge, in which Bina placed 1st in indel calling and 2nd in SNV calling in stage 5
- Creation of a new SomaticSeq classifier utilizing your own dataset
- Review of the somatic workflow within the Bina Genomic Management Solution
Speakers:
Li Tai Fang
Sr. Bioinformatics Scientist
Bina Technologies, Part of
Roche Sequencing |
Anoop Grewal
Product Marketing Manager
Bina Technologies, Part of
Roche Sequencing |
<Read full speaker bios here>
Cost: No cost!
Schedule conflict? Register now and you’ll receive a copy of the recording.

This webinar is compliments of:
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Posted in BioBanking, Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cancer Screening | Tagged Bioinformatics, Cancer - General, Cancer Genetics, CGAP, genetic variants, genomics, next generation sequencing, NGS | Leave a Comment
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