GYRA : CCMAR Computational Cluster (NGS)

Welcome to the CCMAR Computational Cluster Facility: GYRA – gyra.ualg.pt¶

The GYRA cluster facility is administered and maintained by Cymon J. Cox of the Plant Systematics and Bioinformatics Research Group (PSB).

System:¶

The GYRA cluster facility consists of:

Frontend: 16-core 2.3GHz 32GB DELL PowerEdge R715 compute-0-0: 8-core 2.6GHz 8GB DELL PowerEdge SC1435 compute-0-1: 8-core […]

velvet assembly based on reference

(from a user-discussion group)

Dear Velvet users,

it’s my pleasure to announce the 1.0.01 release of Velvet!

Thanks to the Columbus module, Velvet now doubles up as an assisted assembler. In other words, if you already have sequences to guide the assembly (regions, contigs, exons, anything really), you can map the reads onto these sequences […]

CPSS: A computational platform for the analysis of small RNA deep sequencing data

Summary: Next generation sequencing (NGS) techniques have been widely used to document the small RNAs implicated in a variety of biological, physiological and pathological processes. An integrated computational tool is needed for handling and analyzing the enormous data sets from small RNA deep sequencing approach. Here we present a novel web server, CPSS (A […]

New Resources for 1000 Genomes

General Info

As well as posting new announcements on the front page of http://www.1000genomes.org, we have both rss http://www.1000genomes.org/announcements/rss.xml and twitter http://twitter.com/1000genomes twitter

You can also subscribe to and announcements list we have setup. http://listserver.1000genomes.org/ma…o/1000announce 1000announce@1000genomes.org

We have started an FAQ http://www.1000genomes.org/faq to provide help as to where to find certain data sets which surround […]

MetaVelvet: a short read assember for metagenomics

MetaVelvet: a short read assember for metagenomics Introduction

Motivation: An important step of “metagenomics” analysis is the assembly of multiple genomes from mixed sequence reads of multiple species in a microbial community. Most conventional pipelines employ a single-genome assembler with carefully optimized parameters and post-process the resulting scaffolds to correct assembly errors. Limitations of the […]