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Breakpoints via assembly - Identifies breaks and attempts to assemble rearrangements.
Bayesian mixture models for estimating and clustering cancer cell fractions
An R package for predicting HR deficiency from mutation contexts
This repository contains scripts to identify healthy and malignant cells from scRNAseq with CloneTracer and process data from Optimized 10x libraries
CNApp represents the first web tool to perform a comprehensive and integrative analysis of copy number alterations (CNAs) in a user-friendly interface. The software uses segmented data from either aCGH, SNP-array, whole-exome sequencing or whole-genome sequencing to assess sample profiles and CNA levels, establishing associations with molecular and clinical features. CNApp has three main sections: Re-Seg & Score, Region profile and Classifier model
Somatic copy variant caller (CNV) for next generation sequencing
Make Complex Heatmaps
DeCiFer is an algorithm that simultaneously selects mutation multiplicities and clusters SNVs by their corresponding descendant cell fractions (DCF).
dN/dS methods to quantify selection in cancer and somatic evolution
Algorithm to implement Fraction and Copy number Estimate from Tumor/normal Sequencing.
Utility functions for FACETS
Gene fusion detection and visualization
Highly performant data storage in C++ for importing, querying and transforming variant data with C/C++/Java/Spark bindings. Used in gatk4.
LiFD is a two-phase algorithm to predict likely functional driver (LiFD) mutations that integrates information from multiple databases and bioinformatic methods.
fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing
Create mutation signatures from MAF's, and decompose them into Stratton signatures
An R package for studying mutational and structural variant signatures along clonal evolution in cancer.
yuzu Early Access source code with linux specific patches included
Copy number calling and variant classification using targeted short read sequencing
REVOLVER - Repeated Evolution in Cancer
Inferring selection in cancer sequencing data using ABC and population based simulations
Snakemake-based workflow for detecting structural variants in WGS data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.