BOL: All site bookmarks

Taverna Workflow Management System

Madhvan Reddy — Thu, 15 Aug 2013 19:34:32 -0500

Taverna is an open source domain independent Workflow Management System – a suite of tools used to design and execute scientific workflows. Taverna has been created by the myGrid project and is funded through a range of organisations and projects.

The Taverna suite is written in Java and includes the Taverna Engine(used for enacting workflows) that powers both the Taverna Workbench(the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal.

Address of the bookmark: http://www.taverna.org.uk/

Rdatamining.com : R and Data Mining

Poonam Mahapatra — Thu, 15 Aug 2013 18:37:23 -0500

This website presents examples, documents and resources on data mining with R.
Documents on using R for data mining are available to download for non-commercial personal use, including R Reference card for Data Mining, R and Data Mining: Examples and Case Studies and Time Series Analysis and Mining with R.

Address of the bookmark: http://www.rdatamining.com/

Bioinformatics Codes Search

Jitendra Narayan — Thu, 15 Aug 2013 11:08:52 -0500

I bet, this website will be your best friend in near future. This helps us to explore the existing open source codes and learn from it.

You can find some useful open source bioinformatics codes for your analysis work. You can use the left bar options to filtere out or narrow down your search result. This webpage can be an useful resource for a beginners bioinformatician as it contain several bioinformatics basics script that are commonly used by biological programmers and biologist.

Stand on the slumped, dandruff-covered shoulders of millions of computer nerds. _/\_

Enjoy the code and research work.

http://code.ohloh.net/search?s=bioinformatics

Address of the bookmark: http://code.ohloh.net/search?s=bioinformatics

Cava Deployment Tools

Jitendra Narayan — Wed, 14 Aug 2013 15:00:48 -0500

Cava Packager allows packaging of applications written in Perl. Packaged applications can be distributed without the need for an installation of Perl on the target machine. Cava Packager is currently distributed under a free to use license.

Supported Perl Versions

Threaded Perl with a shared libperl 5.8, 5.10, 5.12, 5.14, 5.16

Supported Operating Systems

    MS Windows XP and later 32 and 64 bit.

    Linux 32 and 64 bit - minimum glibc 2.5, GTK+ 2.10, libstdc++6.

    Linux 32 bit RHEL 3 and 4.

    Mac OSX 10.4 and 10.5 - ppc and i386.

    Mac OSX 10.6, 10.7, 10.8 - i386 and x86_64 ( 64 bit for Perl 5.16 only ).

Address of the bookmark: http://www.cavapackager.com/

Citrus Perl

Jitendra Narayan — Wed, 14 Aug 2013 14:57:44 -0500

Citrus Perl is a binary distribution of Perl created for GUI application developers. The distribution includes wxPerl, the Perl wrapper for wxWidgets. Where supported by the operating system wxWidgets is available as a package for the 2.8.x stable branch and the 2.9.x development branch.

Address of the bookmark: http://www.citrusperl.com/

BINC (BioInformatics National Certification) Website address

Kamalakshi Mukherjee — Wed, 14 Aug 2013 09:40:22 -0500

BINC (BioInformatics National Certification) is an initiative of Department of Biotechnology(DBT), Government Of India in coordination with Bioinformatics Center, University of Pune. The objective of the examination is to recognize trained manpower in the area of Bioinformatics. Currently, various Indian universities, Government and private institutions are involved in imparting courses in Bioinformatics in India.

Foreign nationals intending to have certification are eligible to appear for BINC examination.
Minimum qualification includes a degree from a recognized university/institute in the areas listed in FAQ.
Formal training in the area of Bioinformatics is not a prerequisite.
Note that the foreign students will only be certified by DBT and are not eligible for the cash award as well as junior research fellowship.

Address of the bookmark: http://binc.scisjnu.ernet.in/

Best practices in bioinformatics training for life scientists

Jitendra Narayan — Tue, 13 Aug 2013 15:47:34 -0500

Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and practical concepts.

Find the detail paper at http://bib.oxfordjournals.org/content/early/2013/06/25/bib.bbt043.full

Address of the bookmark: http://bib.oxfordjournals.org/content/early/2013/06/25/bib.bbt043.full

Online Courses for biology beginners

Jit — Thu, 18 Jul 2013 13:28:59 -0500

Most of the time we face some biological problems while analysing our data computationally. This bookmark is being created to provide list of all free online courses at one place. If you know any other good online cource resources to learn biology please let me know.

Address of the bookmark: http://ocw.mit.edu/courses/index.htm

Online Bioinformatics Courses

Jitendra Narayan — Wed, 17 Jul 2013 12:59:59 -0500

Bioinformatics is developing very rapidly. With new tools and software it is, now a days, easy to analyse the large scale genomics datasets. But we need to understand the background of software/tool to better explain the data computationally.

I found this online bioinformatics courses really interesting where they are covering the common algorithms underlying the following fundamental topics in bioinformatics: assembling genomes, comparing DNA and protein sequences, predicting genes, finding regulatory motifs, analyzing gene expression, constructing evolutionary trees, analyzing genome rearrangements, and identifying proteins.

Please paste other useful online bioinformatics courses links below if you know any others.

Address of the bookmark: https://www.coursera.org/course/bioinformatics

List of popular bioinformatics software/tools

Jitendra Narayan — Tue, 16 Jul 2013 14:30:30 -0500

In current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.

Address of the bookmark: http://samtools.sourceforge.net/swlist.shtml