Presenting data on predictive modeling and PDX analysis
Comprehensive assessment of mouse contamination removal strategies from patient-derived xenograft model sequencing data
April 4th, 8am-noon
Poster: Section 23, #3586
Novel feature selection strategies for enhancing predictive modeling and deep learning in the biosciences
April 4th, 1-5pm
Poster: Section 24, #4539
Learn about novel TCGA analysis tools at booth #1050
Novel TCGA Visualization and Analysis Tools
Wuxi NextCODE has developed a novel Tumor Mutation Analyzer (TMA) powered by our Genomic Ordered Relational (GOR) database architecture. Fully integrated with our germline Clinical Sequence Analyzer, it provides a uniquely fast, intuitive, and visual means to analyze and compare next-generation sequence data from tumor-normal pairs, tumor-only and PDX analysis.
Visualize DNA, RNA, miRNA sequencing, variant calls, copy number variation, and methylation tracks all in one view
Rapidly analyze entire TCGA datasets
Annotate results ‘on the fly’
Validate mutation calls
Tumor Mutation Analyzer
The Tumor mutation analyzer rapidly combines the results of multiple variant callers, such as MuTect and VarScan2 to identify the most promising cancer variants/genes while simultaneously annotating hits. This tool provides modules for performing standard analyses and the ability to perform high-level custom queries. Data from cancer databases, such as COSMIC, may be accessed and interrogated together with user results.