Latest Genomics & Bioinformatics Updates

differential splicing

DiffSplice, tool to detect the differential splicing events with RNA-seq

The RNA transcriptome varies in response to cellular differentiation as well as environmental factors, and can be characterized by the
miseq

Illumina Announces Winners of MiSeq Grant Program

Illumina, Inc.  today announced the winners of its MiSeq grant program at the American Society of Human Genetics (ASHG) annual meeting in San Francisco. Illumina received almost 850 ...
cloudgene

Cloudgene: A graphical execution platform for MapReduce programs

Researchers at  Innsbruck Medical University, Innsbruck, Austria developed  a freely available platform, Cloudgene, to
chipseq

Biocondutor Packages for Analyzing Chip-seq Data

BayesPeak - Bayesian Analysis of ChIP-seq Data, This package is an implementation of the BayesPeak algorithm for peak-calling in ChIP-seq data.
RNAseq

Bioconductor R packages for the analysis of RNA-seq Data

ArrayExpressHTS – ArrayExpress High Throughput Sequencing Processing Pipeline. RNA-Seq processing pipeline for public ArrayExpress experiments or local
simplex

SIMPLEX: cloud-enabled pipeline for the comprehensive analysis of exome sequencing data

In recent studies, exome sequencing has proven to be a successful screening tool for the identification of candidate genes
Pogonus_chalceus

De novo Transcriptome Assembly in the Wing Polymorphic Salt Marsh Beetle Pogonus chalceus

The salt marsh beetle Pogonus chalceus represents a unique opportunity to understand and study the origin and evolution
TBROWSE

Tbrowse- HTML5 Transcriptome Browser

tbrowse is HTML5/javascript based browser designed specifically for visualizing RNA-seq results. This project aims to
Nebula

Nebula – a web-server for advanced ChIP-seq data analysis.

Nebula is for both bioinformaticians and biologists. It is based on the Galaxy open source framework. Galaxy already
Chip seq work flow

A complete workflow for the analysis of full-size ChIP-seq data sets using peak-motifs.

This protocol explains how to use the online integrated pipeline ‘peak-motifs‘  to predict motifs and binding sites in full-size peak sets obtained by chromatin
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