BOL

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...

Upcoming Webinar: Fast Semi-Parallel Linear and Logistic Regression for Genome-Wide Association Studies

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 - Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs),...

github.com - With advances in Cancer Genomics, Mutation Annotation Format (MAF) is being widely accepted and used to store somatic variants detected. The Cancer Genome Atlas Project has sequenced over 30 different cancers with sample size of each cancer type...

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...