The closing date for application will be 26 June 2015.

.NET Bio

http://blogs.msdn.com/b/msr_er/archive/2011/10/18/microsoft-biology-foundation-evolves-into-new-toolkit-net-bio.aspx

A language-neutral bioinformatics toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists.

AMPHORA ("AutoMated Phylogenomic infeRence Application")

http://wolbachia.biology.virginia.edu/WuLab/Software.html

Metagenomics analysis software

Anduril

http://www.anduril.org/anduril/site/

Component-based workflow framework for data analysis

Armadillo workflow platform

Tool for designing and executing phylogenetic workflows

AutoDock

http://autodock.scripps.edu/

suite of automated docking tools

Biochemical Algorithms Library (BALL)

http://www.ball-project.org/

C++ library and framework for molecular modeling and visualization designed for rapid prototyping

Bio4j

http://bio4j.com/

Bio4j is a bioinformatics platform and graph based database built around most data available in UniProt KB(Swiss-Prot + TrEMBL), Gene Ontology (GO), UniRef (50,90,100), RefSeq, NCBI taxonomy, and Expasy Enzyme DB

Bioclipse

www.bioclipse.net

Visual platform for chemo- and bioinformatics based on the Eclipse Rich Client Platform (RCP).

Bioconductor

http://www.bioconductor.org/

R (programming language) language toolkit

Bioinformatics Learning Tutorial (BLT)

http://sourceforge.net/projects/biotutorial/

Educational interactive tutorials and 3D animations for Replication, Transcription, and Translation

BioHaskell

http://biohaskell.org/

Haskell (programming language)

BioJava

http://biojava.org/wiki/Main_Page

Java (programming language)

BioMOBY

http://biomoby.org/

registry of web services

BioPerl

http://www.bioperl.org/wiki/Main_Page

Perl language toolkit

BioPHP

http://www.biophp.org/

PHP language toolkit

Biopython

http://biopython.org/wiki/Main_Page

Python language toolkit

BioRails

https://github.com/biorails

a data management system designed to support researchers in drug discovery

BioRuby

http://bioruby.org/

Ruby language toolkit

BioSmalltalk

https://code.google.com/p/biosmalltalk/

Smalltalk language toolkit

BioUno

http://www.biouno.org/

BioUno is a project that applies Continuous Integration tools and techniques in Bioinformatics. It uses Jenkins and its plug-in API to create biology workflows and manage computer clusters.

caCORE

ontologic representation environment

caArray

https://cabig-stage.nci.nih.gov/community/tools/caArray

ontologic representation environment

EMBOSS

http://emboss.sourceforge.net/

Suite of packages for sequencing, searching, etc.

Gaggle

https://www.gaggle.net/

A framework for interoperability between systems biology software

Galaxy

http://galaxyproject.org/

Scientific workflow and data integration system

GenePattern

http://www.broadinstitute.org/cancer/software/genepattern/

Scientific workflow system that provides access to more than 150 genomic analysis tools

GeWorkbench

http://wiki.c2b2.columbia.edu/workbench/index.php/Home

Genomic data integration platform

GMOD

http://www.gmod.org/wiki/Main_Page

Toolkit for addressing many common challenges at biological databases.

GeneProf

http://www.geneprof.org/GeneProf/

A web-based, bioinformatics software suite for the analysis of functional genomics experiments, e.g. RNA-seq or ChIP-seq.

GeneTalk

http://www.gene-talk.de/

Tool for filtering sequence variants in VCF files. Network for scientists and clinicians for expertise and knowledge exchange. Database of annotations aboute sequence variants with clinically relevant information.

GenGIS

http://kiwi.cs.dal.ca/GenGIS/Main_Page

Application that allows users to combine digital map data with information about biological sequences collected from the environment.

GenomeSpace

http://www.genomespace.org/

Centralized web application that provides data format transformations and facilitates connections with other bioinformatics tools

GENtle

http://directory.fsf.org/wiki/GENtle

An equivalent to the proprietary Vector NTI, a tool to analyze and edit DNA sequence files

Integrated Genome Browser

http://bioviz.org/igb/

Java-based desktop genome browser

Integrative Genomics Viewer (IGV)

http://www.broadinstitute.org/igv/

High-performance desktop tool for interactive visual exploration of diverse genomic data

IntAct

http://www.ebi.ac.uk/intact/

molecular interaction database

InterMine

http://intermine.github.io/intermine.org/

Extensive data warehouse system for the analysis and integration of biological datasets

Java Treeview

http://jtreeview.sourceforge.net/

microarray data viewer

LabKey Server

http://labkey.com/

platform for integrating, analyzing and sharing data

OpenClinica

https://www.openclinica.com/

software for capturing and managing data in clinical trials

PromKappa

http://xbioinformatics.wordpress.com/tag/promkappa/

PromKappa (Promoter analysis by Kappa) software program used for promoter pattern generation and promoter analysis.

MeV: Multi-Experiment Viewer

http://www.tm4.org/mev.html

a desktop application for the analysis, visualization and data-mining of large-scale genomic data

PathVisio

http://www.pathvisio.org/

a desktop software for drawing, analysis and visualization of biological pathways

REDCRAFT

software for determining tertiary protein structure given assigned Residual Dipolar Coupling data

SAM Tools

Data format (SAM) and accompanying tool suite, for storing large nucleotide sequence alignments

Staden Package

Sequence assembly, editing and analysis, primarily consisting of gap4, gap5 and spin.

STAMP

Software package for analyzing metagenomic profiles that promotes ‘best practices’ in choosing appropriate statistical techniques and reporting results.

supraHex

An open-source R/Bioconductor package for omics data analysis using a supra-hexagonal map

Taverna workbench

Tool for designing and executing workflows

TGAC Browser

Genome Browser, visualisation solutions for big data in the genomic era

T-REX WebServer

Bioinformatics and phylogenetics webserver (NJ, PhyML, RAxML, MAFFT, MUSCLE, Newick viewer, Horizontal gene transfer detection, Reticulograms, Substitution models)

UGENE

integrated bioinformatics tools

Visomics

bioinformatics tools for omics data

Genome Analysis Toolkit 1.0 (GATK 1.0)

a software package to analyse next-generation resequencing data

Usually when you apply anywhere you need to fulfill some specific kind of requirements which usually include writing a formal application, letter of motivation, research proposal etc. Usually it is hard for grad students to write a crisp, clean and clear letter of motivation. To be honest, you may find several posts on the internet which do tell you how to write professionally. They are good enough to clearly tell you what points should be included, what not and many other things to learn about professional writing. Still, when I look back at my graduation days, I know even after reading many instructions I was not able to write ‘to-the-point’. According to me , writing skill is not something that you can part in binary like- ‘I write perfectly’ or ‘I can not write even a word’. It is something that you learn and get better with the the time. So, I am not going to pin-point the suggestions because you can get it many where but some ‘to-the-point’ things which you may use directly in your letter.

Ideas and main points

Start with writing down some of the main ideas, important points you would like to approach in your letter and later build around them, enrich their content; an example would be :

1. Make your goal clear; provide a short preview of the rest of the letter;
2. Why do you think that the university and the Master's program are interesting and suitable for you? ;
3. Focus on some of your strongest qualifications, past experiences (international experiences are always relevant) and qualities; organise the middle paragraphs in terms of the qualifications most relevant to the programme, you can also refer to your CV for more details;
4. Conclude by restating your interest and show appreciation for the chance to prove yourself in the letter (in some cases you can ask for a personal interview)

How to start-
Your very first line should not be just a line but an impression and reference. None would want to read you unless he knows what it is about. Just like this post. If I would not have written that it is about writing a motivation-letter, you probably would not get annoyed. So start by writing what your letter is about. It could seem like this-

Letter Of Application

Your Address And Contact Details

Receiver’s Address

Dear XYZ

I would like to apply for the…..

or

I am writing here to apply for the…

or

This is regarding your advert. published….

Then Tell Background like-
As my resume reveals, I have Bachelor`s degree from XYZ University and currently, I am…..

Be sure to signify your institution/University like-
I am privileged to obtain my postgraduate education in Bioinformatics at XXX which is known for its enriching academic ambiance where learning and research complement each other.

Then tell about your professional experience like-
Being taught by eminent faculty, I have developed a big interest and passion towards Bioinformatics and managed to have a strong foundation in ……

After that tell how this position would help you, like-
The opportunity to participate in this study would foster….

Assure them that you will make use of whatever you learn there, like-
I plan to ensure the further dissemination of the knowledge and experience gained by this opportunity in…

Close the letter with usual formality, like-
I, hereby enclose a copy of my CV/Resume (whatever it is, there is a difference we all know it) with the hope of consideration. Looking forward to hearing from you.

All the things written above is just my view. You still should see and learn which can be done by one thing and that is -reading about it. Then , please try to write yourself, do not copy /paste. Whatever is written in the post is just to have an idea about the things that should be included in the letter of motivation. You need to write accordingly with a wise choice of words.
Hope this was helpful. You may comment or ask anything if you want to.

Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Junior Research Fellow (two positions) for the following time-bound sponsored projects as per the details given below:

PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.

Post: JRF (Two)

Job Description: Bioinformatics analysis, Software development, Programming, Text Mining, Deep Curation

Duration: The post is valid upto duration of the project. Continuation is subject to satisfactory performance.

Emoluments depends upon experience and skill sets. We will hire them on following scale:

Junior Scale- Level 1: Rs 22000 per month.

Senior Scale - Level 2: Rs 30000 per month.

Essential Qualification(s) for JRF post:

(A) A Master degree (MSc or MTech or equivalent with minimum of 55% marks) in Bioinformatics/Computer Sciences, IT, Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences or Statistics, Agriculture, Veterinary, Medicine, Pharmacy, Engineering & Technology from a recognized University/Institute and having some experience/skills in bioinformatics, programming, computational or software development work.

(B) In exceptional cases, we can also consider candidates with B. Tech or equivalent with right skill sets and experience for the post of JRFs.

Desirable:

A) Preference will be given to BINC (Bioinformatics National Certification)/DBT-BET/ICMR/ CSIR /UGC/ JRF/ NET qualified candidates. However, Non- NET qualified candidates can also apply.
B) Candidates who have worked with programing, text mining, NGS data analysis etc are encouraged to apply.
Updated resume including a cover letter (preferably by E. mail) should be mailed to bioinfocvatgmaildotcom, and Dr. Kamal Rawal at kamaldotrawalatgmaildotcom. Short listed candidates would be called for interview. No TA/DA will be paid to the candidates called for interview.

Candidate may also fill the following form:

https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform

Or

http://tinyurl.com/bioinfocv2017

http://statbio.github.io

Address of the bookmark: https://bioconda.github.io/recipes/snakemake/README.html

Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit: https://edu.t-bio.info/course/introduction-bioinformatics/

To read more about this collaboration, visit: https://edu.t-bio.info/pine-biotech-joins-forces-with-the-bioclues-organization-to-promote-bioinformatics/

https://liulab-dfci.github.io/software/

Address of the bookmark: https://biocontainers.pro/#/