github.com - The PheWAS R package is designed to provide an accessible interface to the phenome wide association study. For a description of the methods available and some simple examples, please see the package vignette or the R documentation. For...
https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html
Your profile:
Degree in bioinformatics, biostatistics, or equivalent
Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance...
https://fuma.ctglab.nl/ - FUMA is a platform that can be used to annotate, prioritize, visualize and interpret GWAS results. The SNP2GENE function takes GWAS summary statistics as an input, and provides extensive functional annotation for all SNPs in genomic...
The Department of Biostatistics and Bioinformatics at Duke University Medical Center is seeking a Postdoctoral Associate for a one year appointment to work on several high-dimensional research projects. The specific goals of the project are to...
rstudio-pubs-static.s3.amazonaws.com - First step: Install & load “VennDiagram” package.
# install.packages('VennDiagram')
library(VennDiagram)
Second step: Load data
Add filepath if “catdoge.csv” is not in working-directory.
d <-...
github.com - The variantcalling.nf nextflow script will take any number of samples with paired-end reads in FASTQ format, map reads using Bowtie2, process BAM files, and finally call variants using BCFtools v1.21 and/or Freebayes v1.3.6. If part of the...
github.com - MALVA is able to genotype multi-allelic SNPs and indels without mapping reads
MALVA calls correctly more indels than the most widely adopted genotyping pipelines
Mapping-free approaches are as accurate as alignment-based ones, while being...
www.bioapp.org - EWAS2.0 can analyze EWAS data and identify the association between epigenetic variations and disease/phenotype. On the basis of EWAS1.0, we have added more distinctive features. EWAS2.0 software was developed based on our “population...
schizophreniaforum.org - For Alzheimer’s and other complex disorders, mining the genome for disease-associated variants is no longer the obstacle. The challenge nowadays is figuring out how the identified loci relate to disease. As reported last month in Nature and...