statgen Goto Github PK
Name: Center for Statistical Genetics
Type: Organization
Bio: The Center for Statistical Genetics at the University of Michigan School of Public Health
Location: Ann Arbor, MI
Name: Center for Statistical Genetics
Type: Organization
Bio: The Center for Statistical Genetics at the University of Michigan School of Public Health
Location: Ann Arbor, MI
Dependencies ------------ On debian type systems (including Ubuntu), add the following packages if they are not already installed (or have your admin add them if you do not have permission): sudo apt-get install g++ libssl-dev libcurses-perl zlib1g-dev Building -------- To compile, from the top level directory, type: make To test (after compiling), from the top level directory, type: make test Under the main statgen repository, there are: * lib - the library code ** The library code is compiled into libStatGen.a which, after compiling is located at: statgen/lib/libStatGen.a ** After compiling, library headers can all be found in: statgen/lib/include * src - the tools we developed ** After compling, the executables are found in: statgen/src/bin * scripts - the scripts we developed Makefiles --------- statgen/Makefile.include should contain the definitions that you need for creating software using this library. statgen/lib/Makefile.lib and statgen/lib/Makefile.src can be used as templates for creating Makefiles for new software. If possible, just link to them. They look for a file called Makefile.tool that should be all you need to update for your specific software. (both Makefiles automatically include Makefile.include) A similar setup should be used for test code, linking your Makefile to statgen/Makefile.test and defining Makefile.testtool for your specific test. Other Notes ----------- * Typically the .o files are compiled into their own directory called obj.
Interactive eQTL visualizations
A GCP deployment configuration for accessing fusera data with IGV.
Genepi Libraries
Interactive survey module (ISM) for Genes for Good
Utilities for glf files
Genomes on the Cloud, Mapping & Variant Calling Pipelines
The public base of gvs, which does not contain any secret keys or emails
Credible set determination in GWAS results
C library for high-throughput sequencing data formats
Your personal bot for imputationserver :robot:
TOPMED Imputation Server: A new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity
Locating Ancestry from SEquence Reads
Fast API server for calculating linkage disequilibrium
Useful set of classes for creating statistical genetic programs.
Make interactive LocusZoom plots from a local GWAS file
A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.
Flask server code for LocusZoom APIs
A web service to upload and share GWAS results with LocusZoom.js
Create regional association plots from GWAS or meta-analysis
Meta-analysis of genomewide association scans
Minimac3 is a low memory and computationally efficient implementation of the genotype imputation algorithms. Minimac3 is designed to handle very large reference panels in a more computationally efficient way with no loss of accuracy.
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.