Date: Thursday, April 20, 2017 Time: 10:00am – 12:00pm Location: Cushing/Whitney Medical Library, Room 103 TCC, 333 Cedar St, New Haven CT 06520 Campus: Medical School Categories: Bioinformatics In Collaboration with Robert Bjornson, Ph.D, Yale Center for Research Computing This ...
Read More »Analysis of RNA-Seq Data Using TopHat and Cufflinks
The recent advances in high throughput RNA sequencing (RNA-Seq) have generated huge amounts of data in a very short span of time for a single sample. These data have required the parallel advancement of computing tools to organize and interpret ...
Read More »RNA Seq plots with CummeRbund
Import a CummeRbund database object into R from cuffdiff output using galaxy and produce some basic plots.
Read More »IUTA – a tool for effectively detecting differential isoform usage from RNA-Seq data
Most genes in mammals generate several transcript isoforms that differ in stability and translational efficiency through alternative splicing. Such alternative splicing can be tissue- and developmental stage-specific, and such specificity is sometimes associated with disease. Thus, detecting differential isoform usage ...
Read More »RNA-Seq a hot topic at last month’s ISMB conference
Poster – A50 Gene expression analyses of RNA-Sequencing data across multiple cancers to identify Basal-like cancer subtypes Kevin Thompson, Mayo Clinic, United States Xiaojia Tang, Mayo Clinic, United States Jason Sinwell, Mayo Clinic, United States Peter Vedell, Mayo Clinic, United ...
Read More »RNA-Seq Differential Gene Expression Analysis with Cuffdiff
This video demonstrates how to use the NIAID HPC Web to do a differential gene expression analysis using Cuffdiff with known annotated genes. Output results are discussed.
Read More »ARH-seq – identification of differential splicing in RNA-seq data
The computational prediction of alternative splicing from high-throughput sequencing data is inherently difficult and necessitates robust statistical measures because the differential splicing signal is overlaid by influencing factors such as gene expression differences and simultaneous expression of multiple isoforms amongst ...
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