CloudBioLinux

CloudBioLinux offers genome analysis resources for cloud computing platforms such as Amazon EC2. We develop freely available, community maintained software images and data repositories for biological analysis. Many Bioinformatics workflows involve large datasets requiring high performance computing. Cloud computing provides researchers with the ability to perform computations using a practically unlimited pool of virtual machines, using platforms such as Amazon EC2. Please fork our code on GitHub. And im.

OVERVIEW

The web site cloudbiolinux.org presently has an average traffic ranking of zero (the smaller the superior). We have analyzed zero pages inside the web site cloudbiolinux.org and found seventeen websites linking to cloudbiolinux.org. There are one contacts and locations for cloudbiolinux.org to help you correspond with them. The web site cloudbiolinux.org has been online for seven hundred and sixty-one weeks, four days, twenty hours, and seventeen minutes.
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Nov 2010

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CLOUDBIOLINUX.ORG HISTORY

The web site cloudbiolinux.org was first documented on November 24, 2010. As of today, it is seven hundred and sixty-one weeks, four days, twenty hours, and seventeen minutes old.
REGISTERED
November
2010

PERIOD

14
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7
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LINKS TO DOMAIN

Blue Collar Bioinformatics Note new posts have moved to httpbcb.io Please look there for the latest updates and comments

Validating multiple cancer variant callers and prioritization in tumor-only samples. The post discusses work validating multiple cancer variant callers in bcbio-nextgen. Using a synthetic reference call set from the ICGC-TCGA DREAM challenge. Publicly available whole genome truth sets like the NA12878 Genome in a Bottle reference materials.

biogems.info - gems for bioinformatics

The future is bright for Ruby in bioinformatics! Packages are now listed on biogems. Binder of samtools for Ruby, on the top. Ricardo Ramirez-Gonzalez, Dan MacLean, Raoul J. Biogem is a software generator for Ruby in. Blast search made easy! Anurag Priyam, Ben J Woodcroft, Vivek Rai et al. Hiroyuki Mishima, Jan Aerts. Http requests to entrez e-utilities.

Debian in Biology and Medicine

Thoughts on Open Source with Debian in the fields of computational biology and medical informatics. Thursday, 13 November 2014. As always you can have a look at the packages in our focus by visiting our tasks pages. Some support for Hospital Information Systems.

Environmental Omics

Awards, Facts and Figures. Awards, Facts and Figures.

Mussols blog

In general, no matter what it is. I eventually write some non-tech stuff as well. Enjoy the reading! If you want to know more about my work, please visit my GitHub.

NEBC Homepage

This is an archive of the old NEBC site from nebc. And is no longer updated. This is an archive of the old NEBC site from nebc. And is no longer updated. In collaboration with the Enviro.

RCMon Research Cloud Monash

Of computing capacity with associated memory and disk available in pre-determined.

WHAT DOES CLOUDBIOLINUX.ORG LOOK LIKE?

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CONTACTS

na

Brad Chapman

35 Partridge Avenue

Somerville, MA, 02145

US

CLOUDBIOLINUX.ORG SERVER

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192.30.252.154

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HTML TITLE

CloudBioLinux

DESCRIPTION

CloudBioLinux offers genome analysis resources for cloud computing platforms such as Amazon EC2. We develop freely available, community maintained software images and data repositories for biological analysis. Many Bioinformatics workflows involve large datasets requiring high performance computing. Cloud computing provides researchers with the ability to perform computations using a practically unlimited pool of virtual machines, using platforms such as Amazon EC2. Please fork our code on GitHub. And im.

PARSED CONTENT

The web site states the following, "CloudBioLinux offers genome analysis resources for cloud computing platforms such as Amazon EC2." We noticed that the web site also said " We develop freely available, community maintained software images and data repositories for biological analysis." It also said " Many Bioinformatics workflows involve large datasets requiring high performance computing. Cloud computing provides researchers with the ability to perform computations using a practically unlimited pool of virtual machines, using platforms such as Amazon EC2. Please fork our code on GitHub."

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