SCHOOL OF COMPUTATIONAL AND INTEGRATIVE SCIENCES (SC&IS)

ESSENTIAL QUALIFICATION : - M.Sc./M.Tech. in Physics/ Chemistry/ Biology/ Mathematics/ Statistics/ Bioinformatics/ Computational Biology. Ph.D. in the broad areas of Bioinformatics/ Computational Biology. Candidates must have demonstrated capabilities in terms of high impact research publications in either of the above mentioned areas.

Scale of Pay : - 15600-39100/- (PB-III) AGP Rs. 6000/-

For more details on Centre/School, Specializations etc. please visit JNU website www.jnu.ac.in or contact Section Officer, Room Nos. 131-132, Recruitment Cell, Administrative Block, JNU, New Delhi – 110067, Email: recruitmentjnu2013@gmail.com The last date for the receipt of application is 15 May, 2014.

http://www.jnu.ac.in/Career/

http://www.jnu.ac.in/Career/ADVTNo_RC_48_2014.pdf
Last Apply Date:

15 May 2014

The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It uses Docker/Singularity containers making installation trivial and results highly reproducible. The Nextflow DSL2 implementation of this pipeline uses one container per process which makes it much easier to maintain and update software dependencies.

Address of the bookmark: https://github.com/AusARG/pipesnake

Why Bioinformatics Matters More Than Ever

Every day, our world generates massive amounts of biological data—from genome sequences to microbiome profiles to real-time pathogen surveillance. Hidden within these datasets are the answers to some of the greatest challenges humanity faces: emerging diseases, antimicrobial resistance, environmental stress, genetic disorders, sustainable agriculture, and more.

Bioinformatics isn’t just a skill.
It’s the language of the future of biology.

By mastering it, you give yourself the power to:

Decode genomes and understand life at its most fundamental level

Identify patterns no microscope could ever reveal

Predict disease outbreaks before they occur

Accelerate drug discovery with computational precision

Contribute to open-source tools that empower scientists worldwide

You don’t just follow science—you drive it.

Every Expert Was Once a Beginner

Many newcomers feel intimidated. Command-line interfaces. R scripts. Python packages. Next-generation sequencing data. Complex machine learning models.

But here’s the truth: every bioinformatician started exactly where you are now—curious, unsure, but excited.

No one writes perfect code on day one.

No one understands genomics pipelines immediately.

What makes you a bioinformatician is not perfection, but perseverance.

When your script throws a cryptic error…
When your data refuses to format…
When your pipeline runs for 6 hours only to crash…

Remember: this is part of the journey.
Every error teaches you. Every retry strengthens you. Every breakthrough energizes you.

Bioinformatics Is Not Just a Career—It’s a Mindset

It’s the mindset of:

Problem-solving.

Continuous learning.

Turning chaos into clarity.

Seeing what others can’t.

Bioinformaticians are detectives of biological complexity. You sit at the intersection of innovation, using tools that can shape public health, medicine, agriculture, and ecology. Few fields give you such direct impact on the world.

Your Contribution Matters

As you work on your script, pipeline, genome, or model, remember:

Somewhere, your analysis might contribute to:

A new therapy

A faster diagnostic test

A better understanding of a pathogen

A more resilient crop

An open-source dataset that helps thousands

A discovery that rewrites textbooks

Your code may be small, but its ripple effect is powerful.

The Future Is Bioinformatics—And You Are Part of It

The world is shifting. Wet labs are integrating AI. Hospitals rely on genomic insights. Farmers use gene-level predictions. Governments monitor disease in real time. Students launch pipelines that become global tools.

This is a golden era—and you are not late.
You are exactly where you need to be.

Keep Pushing. Keep Learning. Keep Discovering.

Bioinformatics is a journey filled with challenges, but also with unmatched rewards.

So the next time you feel stuck, frustrated, or overwhelmed, remember:
You’re building the science of tomorrow.

Be proud. Stay curious. Keep going.
Your work matters more than you think.

WALK- IN –INTERVIEWS

Eligible candidates may appear in Walk-in-Interview on May 23, 2014 at 10 AM for the posts of Research Associates & Senior Research Fellows (SRF) in the following DST/DBT/ICAR funded projects.

1 NPTC Project on Bioinformatics and Comparative Genomics

Research Associate (One)

Rs. 24000/- + 30% HRA for masters degree holder with more than 4 years experience

Essential: Ph D in Plant Molecular Biology & Biotechnology/Genetics 0r Candidates who have already submitted their Ph D thesis in above subjects

Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.

Senior Research Fellow ( UGCCSIR/ DBT/ ICAR Net qualified only): (One)

Rs. 16000/- + 30% HRA and Rs. 18000+30 HRA from 3rd year onwards

Essential:

1. ICAR/ UGCCSIR/DBT Net qualified only

2. M. Sc. (with thesis) in Biotechnology, Life Sciences, Biosciences/ Bioinformatics, Genetics/ Plant Pathology with experience in molecular biology.

Or M.Sc with more than 3 years research experiences

3. B.Sc. Agriculture or Biology

Desirable:
1. M. Sc. with thesis
2. Experience in molecular biology, plant tissue culture
3. Bioinformatics knowledge is important

2 DST JC Bose National Fellowship

Research Associate (Bioinformatics) : One

Rs.22000/- + 30% HRA for 1 & 2nd Yr., Rs. 23000+ 30% HRA for 3rd year and Rs. 24000+30% HRA for 4th &5th yr

Essential: M Ph D in Plant Molecular Biology & Biotechnology/Genetics

Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.

Age limit: Max.35 years (Age relaxation of 5 years for SC/ST & women and 3 years for OBC)

The posts are purely temporary in nature and are co-terminus with the project. Initially the offer will be made for one year only and may be further extendable based on performance of the candidate. The interview will be held on May 23 , 2014 at 10:00 AM at NRCPB, LBS Building, Pusa Campus, IARI, New Delhi- 110012. The candidates must bring four copies of biodata (in the prescribed proforma), original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph. No. TA/DA would be given for the appearance in interview. Only the candidates having essential qualification would be entertained for the interviews. Short-listing of candidates based on academic merit and experience will be done in case of large number of applicants.

Advertisement: http://www.nrcpb.org/sites/default/files/Advertisement%20for%20RA%20and%20SRF%20Position.pdf

Live online courses on statistics with R based on this book, led by the author, are offered regularly; see this page for more information and dates.

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you:

• Data wrangling - importing, formatting, reshaping, merging, and filtering data in R.
• Exploratory data analysis - using visualisations and multivariate techniques to explore datasets.
• Statistical inference - modern methods for testing hypotheses and computing confidence intervals.
• Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting.
• Simulation - using simulation techniques for sample size computations and evaluations of statistical methods.
• Ethics in statistics - ethical issues and good statistical practice.
• R programming - writing code that is fast, readable, and (hopefully!) free from bugs.

The book includes plenty of examples and more than 200 exercises with worked solutions. The datasets used for the examples and the exercises can be downloaded here.

Address of the bookmark: https://www.modernstatisticswithr.com/

C. Titus Brown http://video.open-bio.org/video/1/a-history-of-bioinformatics-in-the-year-2039

Can't locate XML/parser.pm in @INC (@INC contains:
/usr/lib/perl5/5.10.0/i386-linux-thread-multi
/usr/lib/perl5/5.10.0
/usr/local/lib/perl5/site_perl/5.10.0/i386-linux-thread-multi
/usr/local/lib/perl5/site_perl/5.10.0
/usr/lib/perl5/vendor_perl/5.10.0/i386-linux-thread-multi
/usr/lib/perl5/vendor_perl/5.10.0 /usr/lib/perl5/vendor_perl
/usr/lib/perl5/site_perl/5.10.0 .)

Manual Method of Perl Module Installation

• Install Perl Modules Manually

This manual method is very useful when your computer or server is not connected to the Internet.

Download Perl module:
Go to CPAN Search website and search for the module that you wish to download. In this example, let us search, download and install XML::Parser Perl module. I have downloaded the XML-Parser-2.36.tar.gz to /home/download

# cd /home/download
# gzip -d XML-Parser-2.36.tar.gz
# tar xvf XML-Parser-2.36.tar
# cd XML-Parser-2.36

Build the perl module:
Build by running Makefile.PL, remember the case sensitivity, make and make test.

# perl Makefile.PL
Checking if your kit is complete...
Looks good
Writing Makefile for XML::Parser::Expat
Writing Makefile for XML::Parser
# make
# make test

Install the perl module:
Now your package is ready to install.

# make install

As a newbie it looks pretty simple, and one go. But, luckily this is a very simple one module with no dependencies. Typically, Perl modules will be dependent on several other modules. Just imagine chasing all these dependencies one-by-one, thinking ... oh ye I got it. That will be very painful and annoying task. I recommend the CPAN method of installation as shown below.

Install Perl Modules using CPAN automatically

Logically, you should must have the CPAN perl module installed in your server or computer before you can install any other Perl modules using CPAN. I know you  are laughing, "to install a perl module you need another perl module"  ;)

Lets verify whether CPAN is already installed:

To install Perl modules using CPAN, make sure the cpan command is working. Following are the error message when CPAN module is not installed.

# cpan
-bash: cpan: command not found

# perl -MCPAN -e shell
Can't locate CPAN.pm in @INC (@INC contains:
/usr/lib/perl5/5.10.0/i386-linux-thread-multi
/usr/lib/perl5/5.10.0
/usr/local/lib/perl5/site_perl/5.10.0/i386-linux-thread-multi
/usr/local/lib/perl5/site_perl/5.10.0
/usr/lib/perl5/vendor_perl/5.10.0/i386-linux-thread-multi
/usr/lib/perl5/vendor_perl/5.10.0
/usr/lib/perl5/vendor_perl /usr/lib/perl5/site_perl/5.10.0 .).
BEGIN failed--compilation aborted.

Install the CPAN module using yum:
If CPAN in not installed in your system, you can use "yum" for the rescue. Dont worry biological data cruncher, this is true we are now dependent all these tiny magicians :).

# yum install perl-CPAN

Output of yum install perl-CPAN command:

Loaded plugins: refresh-packagekit
updates-newkey                       | 2.3 kB     00:00
primary.sqlite.bz2                   | 2.4 MB     00:00
Setting up Install Process
Parsing package install arguments

Resolving Dependencies
Transaction Summary
=============================================================================
Install      5 Package(s)
Update       0 Package(s)
Remove       0 Package(s)

Total download size: 1.0 M
Is this ok [y/N]: y
Downloading Packages:
(1/5): perl-ExtUtils-ParseXS-2.18-31.fc9.i386.rpm     |  30 kB     00:00
(2/5): perl-Test-Harness-2.64-31.fc9.i386.rpm         |  70 kB     00:00
(3/5): perl-CPAN-1.9205-31.fc9.i386.rpm               | 217 kB     00:00
(4/5): perl-ExtUtils-MakeMaker-6.36-31.fc9.i386.rpm   | 284 kB     00:00
(5/5): perl-devel-5.10.0-31.fc9.i386.rpm              | 408 kB     00:00

Installing     : perl-ExtUtils-ParseXS                             [1/5]
Installing     : perl-devel                                        [2/5]
Installing     : perl-Test-Harness                                 [3/5]
Installing     : perl-ExtUtils-MakeMaker                           [4/5]
Installing     : perl-CPAN                                         [5/5]


Installed: perl-CPAN.i386 0:1.9205-31.fc9
Dependency Installed:
  perl-ExtUtils-MakeMaker.i386 0:6.36-31.fc9
  perl-ExtUtils-ParseXS.i386 1:2.18-31.fc9
  perl-Test-Harness.i386 0:2.64-31.fc9
  perl-devel.i386 4:5.10.0-31.fc9
Complete!

Configure cpan the first time:
Once the CPAN is installed, you need to configure it by executing cpan, you should set some configuration parameters as shown below. I have shown only the important configuration parameters below. Accept all the default values by pressing enter.

Note: Make sure to execute “o conf commit” in the cpan prompt after the configuration to save the settings.

# cpan

Sorry, we have to rerun the configuration dialog for CPAN.pm due
to some missing parameters...

CPAN build and cache directory? [/root/.cpan]
Download target directory? [/root/.cpan/sources]
Directory where the build process takes place? [/root/.cpan/build]

Always commit changes to config variables to disk? [no]
Cache size for build directory (in MB)? [100]
Let the index expire after how many days? [1]

Perform cache scanning (atstart or never)? [atstart]
Cache metadata (yes/no)? [yes]
Policy on building prerequisites (follow, ask or ignore)? [ask]

Parameters for the 'perl Makefile.PL' command? []
Parameters for the 'perl Build.PL' command? []

Your ftp_proxy? []
Your http_proxy? []
Your no_proxy? []
Is it OK to try to connect to the Internet? [yes]

First, pick a nearby continent and country by typing in the number(s)
(1) Africa
(2) Asia
(3) Central America
(4) Europe
(5) North America
(6) Oceania
(7) South America
Select your continent (or several nearby continents) [] 5

(1) Bahamas
(2) Canada
(3) Mexico
(4) United States
Select your country (or several nearby countries) [] 4

(2) ftp://carroll.cac.psu.edu/pub/CPAN/
(3) ftp://cpan-du.viaverio.com/pub/CPAN/
(4) ftp://cpan-sj.viaverio.com/pub/CPAN/
(5) ftp://cpan.calvin.edu/pub/CPAN
(6) ftp://cpan.cs.utah.edu/pub/CPAN/
e.g. '1 4 5' or '7 1-4 8' [] 2-16

cpan[1]> o conf commit
commit: wrote '/usr/lib/perl5/5.10.0/CPAN/Config.pm'

cpan[2]> quit
No history written (no histfile specified).
Lockfile removed.

• Install Perl Modules using CPAN

Hey smile please, now you are ready with CPAN and can download modules in one line command.

You can use one of the following method to install a Perl module using cpan:

# perl -MCPAN -e 'install Bundle::BioPerl'

(or)

# cpan
cpan shell -- CPAN exploration and modules installation (v1.9205)
ReadLine support available (maybe install Bundle::CPAN or Bundle::CPANxxl?)

cpan[1]> install "Bundle::BioPerl"

In the example above, CPAN will check for Bundle::BioPerl dependencies and automatically resolves and installs Bundle::BioPerl with all the dependent Perl modules.

• Quick Ways

Oh, look at your face.. smily hmm :). This is what your are looking for, a quick and best way to install Perl modules, Bioperl. Following are the the steps to download BioPerl in your server/computer.

# sudo apt-cache search perl BioPerl

Output will be like as follows:

bioperl - Perl tools for computational molecular biology
bioperl-run - BioPerl wrappers: scripts
libbio-perl-perl - BioPerl core perl modules
libbio-perl-run-perl - BioPerl wrappers: modules
libbio-samtools-perl - Perl interface to SamTools library for DNA sequencing
libbiojava-java - Java API to biological data and applications (default version)
libbiojava3-java - Java API to biological data and applications (default version)
python-biopython-sql - Biopython support for the BioSQL database schema
libbtlib-perl - library for basic sequence manipulation

# sudo apt-get install bioperl

If it is installed then flash the following message:

Reading package lists... Done
Building dependency tree      
Reading state information... Done
bioperl is already the newest version.
0 upgraded, 0 newly installed, 0 to remove and 10 not upgraded.

In it is found not installed in your server or system them install all with dependencies.

You can use the same approach to install all the modules, and packages if required.

Thanks for reading. Best of luck for your research.

The Indian scientists working in Bangalore, along with their American counterparts, have mapped more than 17,000 proteins in 30 organs of the human body. Just like the human genome was sequenced around the turn of the millennium, this is an equivalent mapping of the human proteome.

The researcher estimated there are around 20,500 proteins in the human body. These scientists have profiled around 17,294, which account for around 84% of the total proteins. Apart from this, the team also traced around 2,500 of 3,000 proteins that had been categorised as "missing proteins".

The work, done by group of Indian scientists, and Johns Hopkins University, published in the renowned journal Nature ( http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html ). Of the 72 people who worked on the project, 46 are Indians.

Reference:

http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html

http://www.proteinatlas.org/ -The antibody-based Human Protein Atlas programme

http://www.humanproteomemap.org/ -Proteogenomic analysis by identifying translated proteins from annotated pseudogenes, non-coding RNAs and untranslated regions.

https://www.proteomicsdb.org/ -Assembled protein evidence for 18,097 genes in ProteomicsDB

http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf