KarchinLab/probabilistic2020 KarchinLab/probabilistic2020

  • Stars
    star
    8
  • Rank 2,088,156 (Top 42 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created over 8 years ago
  • Updated about 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
KarchinLab/probabilistic2020
github

KarchinLab

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Simulates somatic mutations, and calls statistically significant oncogenes and tumor suppressor genes based on a randomization-based test

More Repositories

1

open-cravat

A modular annotation tool for genomic variants
JavaScript
110
star
2

2020plus

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Python
48
star
3

bigmhc

BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
Jupyter Notebook
32
star
4

mhcnuggets

MHC Class I and Class II neoantigen binding prediction
Python
23
star
5

SCHISM

Subclonal Hierarchy Inference from Somatic Mutations
Python
21
star
6

CHASMplus

Predicts which missense mutations will drive growth of human cancers
Python
11
star
7

pictograph

A Bayesian hierarchical model to build tumor evolutionary trees
R
5
star
8

CLUMP

CLUstering by Mutation Position
Python
5
star
9

Tokheim_PNAS_2016

Evaluation protocol for computational methods predicting cancer driver genes
Jupyter Notebook
4
star
10

cancerSeqStudy

Analysis of statistical power and false positives for cancer exome sequencing studies
R
4
star
11

HotMAPS_2016

Detects hotspot regions for somatic mutations in 3D protein structures
Python
2
star
12

Tokheim_Cell_Systems_2019

Data analysis for the CHASMplus paper
Jupyter Notebook
2
star
13

opencravat-cwl

Common Workflow Language
2
star
14

NAPA

Python
1
star
15

open-cravat-modules-karchinlab

JavaScript
1
star
16

open-cravat-multiuser

Python
1
star
17

open-cravat-readthedocs

Python
1
star