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Semantic proximity does not establish scientific evidence.

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Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A short tutorial in analyzing NGS data of cancer genomes for somatic mutation callingDOI 10.1186/1471-2105-14-s17-a15
Methods, challenges, and promise of next-generation sequencing in cancer biology.Semantic proximity
A database of simulated tumor genomes towards accurate detection of somatic small variants in cancerSemantic proximity
Computational analysis of cancer genome sequencing data.Semantic proximity
Systematic comparison of somatic variant calling performance among different sequencing depth and mutation frequency.Semantic proximity
CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomesSemantic proximity
A fresh look at somatic mutations in cancer.Semantic proximity
CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes.Semantic proximity
Bioinformatic Methods to Identify Mutational Signatures in Cancer.Semantic proximity
Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data.Semantic proximity
A database of simulated tumor genomes towards accurate detection of somatic small variants in cancer.Semantic proximity
Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline.Semantic proximity
Finding cancer driver mutations in the era of big data researchSemantic proximity
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