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imputationserver
Michigan Imputation Server: A new web-based service for imputation that facilitates access to new reference panels and greatly improves user experience and productivitynf-gwas
A nextflow pipeline to perform state-of-the-art genome-wide association studies.cloudgene
A framework to build Software As A Service (SaaS) platforms for data analysis pipelines.haplogrep3
Free mtDNA Haplogroup Classification Serviceimputationserver-docker
Docker Image for Michigan Imputation Serverhaplocheck
Phylogeny-based Contamination Detection in Mitochondrial and Whole-Genome Sequencing Studiescloudgene-old
Please note that this repository is deprecated. Please use genepi/cloudgene23andme-tools
Convert 23andMe data to VCFsmtdna-server-2
mtDNA-Server 2: A web-service and Nextflow pipeline for mitochondrial genomescloudflow
Cloudflow is a MapReduce and Spark pipeline framework to simplify the pipeline creation in biomedical research, especially in the field of Genetics.cdh5-hadoop-mrv2
Docker Image of Cloudera Hadoop MapReduce (MRv2, YARN)imputationserver-aws
Running Michigan Imputation Server (MIS) on AWS EMRphylotree-rcrs-17
ngs-class
Next Gen Sequencing Course - Medical University of Innsbruckumi-pipeline-nf
Nextflow pipeline to analyze ONT UMI Sequencing datagenomic-utils
Collection of tools to work with genomic datasetsphylotree-fu-rcrs
imputationserver2
cloudgene-samples-old
Please note that this repository is *deprecated*. Please use genepi/cloudgene-examplesimputationserver-tutorial
A step by step tutorial for the TOPMed Workshop (April 30 - May 1 2018, Ann Arbor)cdh5-hadoop-mrv1
Docker Image for Cloudera Hadoop MapReduce (MRv1)thesis-clemens
Master Thesis Clemens Banascloudgene-docker
Docker Image for Cloudgeneumit-biostatistics
Biostatistics 1 - https://genepi.github.io/umit-biostatistics/genepi-libs
Genepi Librariescloudgene-examples
Example applications to start with Cloudgenepig-gene
Due to the vast progress in sequencing, data volumes in bioinformatics are increasing dramatically. Therefore, the aim of this work is the development of a graphical generation platform for Apache Pig scripts called PigGene to analyze data in a massively parallel way. Users are guided through the building process of scripts by an intuitive user interface and are able to generate workflow definitions for complex data queries on the fly. Generated scripts are ready to use and can be further executed directly on Cloudgene, a graphical MapReduce execution platform. PigGene can be extended by user scripts and supports especially inexperienced users in the area of bioinformatics.lpa-pipeline
detecting low-level variants in CNVsimputationserver-utils
vntr-calling-nf
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