BioJS: Web 2.0 Reusable Components For Visualization of Biological Data

Despite may Bio* being developed (BioPerl, BioJava, etc.), to date no coordinated Bio* community effort has been established for JavaScript. JavaScript is the language of choice for implementation of dynamic and interactive web applications. BioJS provides a catalogue of open source modules in JavaScript for Life Sciences. These modules include many commonly used functionalities, available […]

BMC Update Newsletter Features Two Of Our Most Recent Works

This week’s BMC Update, the official newsletter for BioMed Central has featured two of our recent works, the Crowdfunding Genome Project and the ‘How Not To be a Bioinformatician‘ article, published in BMC’s Source Code for Biology and Medicine journal. This is a huge achievement, given that BMC Update reaches a great number of recipients world-wide, in the order […]

A Genome Blogger Manifesto

Have you ever wondered why some people have no reparation in sharing their genetic profiles? Why do they openly talk about something supposedly so private? I believe that no contradiction exists between wanting to protect one’s privacy yet sharing one’s genomic data with the world. I am more concerned about the information that Facebook collects […]

Personal Genomic Software: A Review of What Is Available

Readers may have seen that a few previous entries in Manuel Corpas’ Blog have been dedicated to myKaryoView, a personal genome visualization free software. In this post I review some of the software that is currently available for analysis of personal genomes. These are all free third party packages independent from providers such as 23andMe, […]

myKaryoView: First Open Source Visualization Software for 23andMe Data

Following my previous post on the First Publicly Available Genome Via DAS I would like to present an open source software that Rafael Jimenez and myself have developed for visualization of genomic data. Here we have it configured to display 23andMe data as a test case. We call it myKaryoView and it is available for […]

Cloud computing: a new standard platform?

Cloud computing is becoming a technology mature enough for its use in genome research experiments. The use of large datasets, its highly demanding algorithms and the need for sudden computational resources, make large-scale sequencing experiments an attractive test-case for cloud computing. So far I have seen cloud computing demonstrated using R (1). However, it remains […]