cancer-variants

There are 2 repositories under cancer-variants topic.

• seandavi / awesome-cancer-variant-databases

  A community-maintained repository of cancer clinical knowledge bases and databases focused on cancer variants.

  awesome-listcancercancer-variantscancer-genomicsmutationsclinical-trialsbioinformatics
  289

• sigven / pcgr

  Personal Cancer Genome Reporter (PCGR)

  annotation-frameworkannotation-toolcancercancer-genomicscancer-variantsclinicalcopy-number-variationinterpreteroncology-dataprecision-cancer-medicineprecision-oncologyreporting-enginesnvssomatictherapeutic-targetstumorvariant-interpretationvcf
  Language:R 244

• joiningdata / lollipops

  Lollipop-style mutation diagrams for annotating genetic variations.

  cancer-genomicscancer-variantsdiagramgovisualization
  Language:Go 178

• rhshah / IMPACT-Pipeline

  Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay

  cancer-genomicscancer-variantsillumina-sequencingmsk-impactmskimpactngsprecision-medicine
  Language:Perl 55

• getzlab / deTiN

  DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.

  cancer-genomicscancer-variantscancer-genome-atlastumordetectiontumor-in-normalsomatic-mutationstin
  Language:Jupyter Notebook 48

• enginBozkurt / Lymphoma-Cancer-Classification

  A PyTorch implementation for differentiating between different types of lymphoma cancer

  cancer-researchcancer-variantsclassificationdeep-learningpathologypytorch-implementation
  Language:Jupyter Notebook 8

• neksa / mutagene

  Python library and package for mutational analysis

  mutationscancer-genomicscancercancer-variantsmutagenesisgenomicsmachine-learningncbimutational-signaturesmutational-significance-analysismutational-load
  Language:Jupyter Notebook 3

• rushabh-wadkar / Personalized-Cancer-Diagnosis-ML-CaseStudy

  Classify the given genetic variations/mutations based on evidence from text-based clinical literature.

  cancer-variantsmachine-learningpython3
  Language:HTML 2

• aleighbrown / background_mutability

  Code for figure generation and analysis in Finding driver mutations in cancer: Elucidating the role of background mutational processes https://doi.org/10.1371/journal.pcbi.1006981

  cancer-variantscancer
  Language:R 0