1. Cancer Genomics

2. Microbial Genetics and Metagenomics

3. Human Infective Diseases

4. Computational Drug Design

Interested candidates may apply to Dr. Ranjith N. Kumavath, Assistant Professor & Head, Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Padannakad (PO), Nileshwar, Kasaragod-671328,Kerala. Email: RNkumavath@gmail.com

unzip blatSrc35.zip

to unpack the archive. This gives a directory blatSrc now move into that directory.

#cd blatSrc

before you begin read the README file that comes with the source code.

One thing about building blat is that you need to set the MACHTYPE variable so that the BLAT sources know what type of machine you are compiling the software on.

on most *nix machines, typing

echo $MACHTYPE

will return the machine architecture type.

On my CentOS 6 based system this gave:

x86_64-redhat-linux-gnu

However, what BLAT requires is the 'short value' (ie the first part of the MACHTYPE). To correct this, in the bash shell type (change this to the correct MACHTYPE for your system)

MACHTYPE=x86_64
export MACHTYPE

now running the command:

echo $MACHTYPE

should give the correct short form of the MACHTYPE:

x86_64

now create the directory lib/$MACHTYPE in the source tree. ie:

mkdir lib/$MACHTYPE

For my machine, lib/x86_64 already existed, so I did not have to do this, but this is not the case for all architectures.

The BLAT code assumes that you are compiling BLAT as a non-privileged (ie non-root) user. As a result, you must create the directory for the executables to go into:

mkdir ~/bin/$MACHTYPE

If you are installing as a normal user, edit your .bashrc to add the following (change the x86_64 to be your MACHTYPE):

export PATH=~/bin/x86_64::$PATH

For me, though, this was not good enough. I wanted the executables in /usr/local/bin where all my other code goes. As a result I did some hackery...

There is a master make template in the inc directory called common.mk and I edited this file with the command:

vi inc/common.mk

I replaced the line

    BINDIR=${HOME}/bin/${MACHTYPE}

with

    BINDIR=/usr/local/bin

saved and quit (as this is in my path, I do not need to do anything else)

All the preparation is now done and you can create the blat executables by going into the toplevel of the blat source tree (for me it was /usr/local/src/blat/blatSrc, but change to wherever you unpacked blat into).

Now simply run the command:

make

to compile the code.

Blat installed cleanly and the executables were all neatly placed in /usr/local/bin/x86_64, just like I wanted.

now simply running the command:

blat

on the command line gives me information on blat and sample usage.

Blat is installed and it's installed properly in my system code tree!!!

The tutorial is divided in three main parts:

• In the Sequence part, you will see how to look efficiently for a particular protein sequence, how to blast it against the database of your choice to find homologues, how to perform a multiple alignment of the homologues you've selected and how to edit this alignment.
• The Structure part is about molecular visualization, homology modeling and structural domain prediction.
• In the Function part, you will be introduced to you 3 useful servers to investigate the function of a protein. i.e. finding interactors, co-expressed genes, see a phylogenetic profile, easily access papers citing your gene etc ...

During all the three parts, we will use the S. cerevisiae VPS36 protein as an example.

Address of the bookmark: http://www.mrc-lmb.cam.ac.uk/rlw/text/bioinfo_tuto/introduction.html

In this tutorial, we will show you how to install and configure Elgg social networking platform on Ubuntu 20.04.

Prerequisites

• A fresh Ubuntu 20.04 VPS on the Atlantic.net Cloud Platform
• A valid domain name pointed to your server IP
• A root password configured on your server

Step 1 – Create Atlantic.Net Cloud Server

First, log in to your Atlantic.Net Cloud Server. Create a new server, choosing Ubuntu 20.04 as the operating system with at least 2GB RAM. Connect to your Cloud Server via SSH and log in using the credentials highlighted at the top of the page.

Once you are logged in to your Ubuntu 20.04 server, run the following command to update your base system with the latest available packages.

apt-get update -y

Step 2 – Install Apache, MariaDB and PHP

Elgg runs on Apache web server, is written in PHP, and uses MySQL/MariaDB as a database backend, so you will need to install the Apache, MariaDB, PHP and other required PHP extensions to your server. You can install all of them with the following command:

apt-get install apache2 mariadb-server php libapache2-mod-php php-common php-sqlite3 php-curl 
php-intl php-mbstring php-xmlrpc php-mysql php-gd php-xml php-cli php-zip unzip wget -y

After installing all the packages, edit the php.ini file and change some recommended settings.

nano /etc/php/7.4/apache2/php.ini

Change the following values:

max_execution_time = 300
memory_limit = 512M
upload_max_filesize = 100M
date.timezone = Asia/Kolkata

Save and close the file, then restart the Apache service to apply the configuration changes.

systemctl restart apache2

Step 3 – Create a Database for Elgg

Next, you will need to create a database and user for Elgg. First, log in to MySQL shell with the following command:

mysql

Once logged in, create a database and user with the following command:

CREATE DATABASE elgg;
CREATE USER 'elgg'@'localhost' IDENTIFIED BY 'secure-password';

Next, grant all the privileges to the elgg database with the following command:

GRANT ALL ON elgg.* TO 'elgg'@'localhost' IDENTIFIED BY 'secure-password' WITH GRANT 
OPTION;

Next, flush the privileges and exit from the MariaDB shell with the following command:

FLUSH PRIVILEGES;
EXIT;

At this point, the MariaDB database is created for Elgg.

Step 4 – Install Elgg

First, download the latest version of Elgg from its official website using the following command:

wget https://elgg.org/download/elgg-3.3.13.zip

Once the download is completed, unzip the downloaded file with the following command:

unzip elgg-3.3.13.zip

Next, move the extracted directory to the Apache root directory:

mv elgg-3.3.13 /var/www/html/elgg

Next, create a data directory and set proper ownership and permissions to the Elgg directory:

mkdir /var/www/html/data
chown -R www-data:www-data /var/www/html/elgg
chown -R www-data:www-data /var/www/html/data
chmod -R 755 /var/www/html/elgg

Once you are finished, you can proceed to the next step.

Step 5 – Configure Apache for Elgg

Next, you will need to configure Apache to serve Elgg. You can configure it by creating a new Apache virtual host configuration file:

nano /etc/apache2/sites-available/elgg.conf

Add the following lines:

<VirtualHost *:80>
ServerAdmin admin@example.com
DocumentRoot /var/www/html/elgg/
ServerName elgg.example.com
Options FollowSymLinks
AllowOverride All
ErrorLog /var/log/apache2/elgg-error_log
CustomLog /var/log/apache2/elgg-access_log common
</VirtualHost>

Save and close the file, then enable the virtual host and Apache rewrite module with the following command:

a2ensite elgg.conf
a2enmod rewrite

Finally, restart the Apache service to apply the changes:

systemctl restart apache2

Step 6 – Access Elgg Web Interface

Now, open your web browser and access the Elgg web interface using the URL http://elgg.example.com. You should see the Elgg welcome screen:

Applications are invited for the position of Senior Research Fellow for the following time-bound sponsored project as per the details given below:

1. BTIS project on, “Bioinformatics Center-National Infrastructural Facility in the Area of Immunology” funded by DBT

Senior Research Fellow (P) (One Position only)

Dr. Debasisa Mohanty
Staff Scientist-VI
deb@nii.res.in

Qualifications: M.Sc in Biological Sciences or Biotechnology with at least 04 years of Research experience in Bioinformatics or computational Biology after the master’s degree is essential.

Emoluments: The selected candidates will draw consolidated emoluments as per Institute Rules, depending upon qualifications & experience

Rs. 18,000/- per month consolidated plus 30% HRA if Leading to Ph.D/NET/GATE Qualified otherwise Rs. 14,000/- per month + 30% HRA.

Job description: The candidate should be well versed in programming in PERL/C++/HTML/CGI, web server and portal development, computational analysis of
protein structure & function, molecular dynamics simulations and use of high performance computing systems.

GENERAL TERMS AND CONDITIONS:-

1. The candidates selected for the above posts will be on contract for one year or duration of the project whichever is shorter, at a time.
2. No hostel/ housing facility will be provided.
3. Number of posts may vary and shall be need based. Advertisement is no commitment.
4. Applicants may clearly mention the category they belong to i.e. SC/ST/OBC/PH and attach documentary proof of the same.
5. No TA/DA will be paid for attending the interview, if called for.
6. Apart from sending application in the prescribed format given below, candidates should send complete Curriculum Vitae along with the names of three referees. Curriculum Vitae should contain details of the experimental expertise.

HOW TO APPLY Interested candidates may apply directly, STRICTLY IN THE PRESCRIBED FORMAT GIVEN BELOW, through e-mail, to the Investigator of the project, clearly indicating the name of the project along with their complete C.V., e-mail id, fax numbers, telephone numbers. Only Short listed candidates will be called for interview and they required to submit attested copies of all their certificates and a Demand Draft of Rs 100/- drawn on Canara Bank or Indian Bank payable at Delhi/New Delhi in favour of the Director, NII (SC / ST and PH candidates are exempted subject to submission of documentary proof), at the time of interview.

LAST DATE OF RECEIPT OF APPLICATIONS: 06th June, 2014

Advertisement

www1.nii.res.in/sites/default/files/projectappointment-Dr.Mohanty-6June2014.pdf

Candidates should have a 1st class MSc/MTech/BTech degree in Bioinformatics. Please send complete CV, quoting Application for RMETH-JRF-2014, by email to Dr. Dinesh Gupta: dinesh@icgeb.res.in

Closing date for applications: 6 August 2014

More at http://www.icgeb.org/tl_files/Vacancies/JRF.pdf

Biostrings

The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It contains many speed and memory effective string containers, string matching algorithms, and other utilities, for fast manipulation of large sets of biological sequences. The objects and functions provided by Biostrings form the basis for many other sequence analysis packages. Documentation

The work will focus on the functional studies of small RNAs by using next-generation sequencing approaches.

Candidates should hold a Ph.D. degree and have strong background in bioinformatics.
The University of Nice Sophia-Antipolis provides a wide range of facilities and training essential for biomedical research.

Interested applicants should send a PDF with a cover letter stating research interests and qualifications, an updated CV, a summary of previous research experience and contact information for two references to Michele Trabucchi ( mtrabucchi@unice.fr )

Homepage: http://www.unice.fr/c3m/EN/Equipe10.html

Address of the bookmark: http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

De Bruijn Graphs for NGS Assembly
Algorithms for PacBio Reads
Software and Hardware Concepts for Bioinformatics
Finding us in Homolog.us (Search Algorithms)
NGS Genome and RNAseq Assembly - a Hands on Primer
Introduction to PERL, Python, R and C/C++ for Bioinformatics

Address of the bookmark: http://www.homolog.us/Tutorials/