Next Gen Sequencing (NGS) and Bioinformatics at UVic
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Next Gen Sequencing (NGS) and Bioinformatics at UVic
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bffo RT @galaxyproject: Tool Shed - lots of good stuff

Found on Twitter:

bffo RT @galaxyproject: Tool Shed: SCALCE: Tool for compression of FASTQ files; bit.ly/gxyshed #usegalaxy #bioinformatics

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Analyzing complex plant genomes with the newest next-generation DNA sequencing techniques | Science Codex

Analyzing complex plant genomes with the newest next-generation DNA sequencing techniques | Science Codex | Next Gen Sequencing (NGS) and Bioinformatics at UVic | Scoop.it
Analyzing complex plant genomes with the newest next-generation DNA sequencing ... - Science Codex: Science Code...
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Challenges of sequencing human genomes

Massively parallel sequencing technologies continue to alter the study of human genetics. As the cost of sequencing declines, next-generation sequencing (NGS) instruments and datasets will become increasingly accessible to the wider research community. Investigators are understandably eager to harness the power of these new technologies. Sequencing human genomes on these platforms, however, presents numerous production and bioinformatics challenges. Production issues like sample contamination, library chimaeras and variable run quality have become increasingly problematic in the transition from technology development lab to production floor. Analysis of NGS data, too, remains challenging, particularly given the short-read lengths (35–250 bp) and sheer volume of data. The development of streamlined, highly automated pipelines for data analysis is critical for transition from technology adoption to accelerated research and publication. This review aims to describe the state of current NGS technologies, as well as the strategies that enable NGS users to characterize the full spectrum of DNA sequence variation in humans.


Via Mohamed Nadhir Djekidel
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BMC Bioinformatics | Abstract | Assessing statistical significance in causal graphs

Causal graphs are an increasingly popular tool for the analysis of biological datasets.
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Metassembler: Improving de novo genome assembly

Found on Twitter:  bit.ly/wt6Uv2 #agbt  Links to a PDF

Metassembler: Improving de novo genome assembly
Paul Baranay, Scott Emrich, Michael Schatz

 

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PLoS Collections: A Quick Guide for Developing Effective Bioinformatics Programming Skills

"The following set of guidelines distill several key principals of effective bioinformatics programming, which the authors learned through insights gained across many years of combined experience developing popular bioinformatics software applications and database systems in both academic and commercial settings.."


Via Mohamed Nadhir Djekidel
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Google Invests in Bioinformatics: DNAnexus CEO, Andreas Sundquist | mendelspod.com

Google Invests in Bioinformatics: DNAnexus CEO, Andreas Sundquist | mendelspod.com | Next Gen Sequencing (NGS) and Bioinformatics at UVic | Scoop.it

Andreas Sundquist is here to talk about his exciting new company. He’s the CEO and co-founder of DNAnexus, a company receiving a fair amount of buzz since catching a chunk of cash from Google Ventures and TPG Biotech.

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Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data

High-throughput sequencing (HTS) technologies have made low-cost sequencing of large numbers of samples commonplace. An explosion in the type, not just number, of sequencing experiments has also taken place including genome re-sequencing, population-scale variation detection, whole transcriptome sequencing and genome-wide analysis of protein-bound nucleic acids.

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