BOL

Genetic variants discovery tool

seeing-theory.brown.edu - Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).

github.com - Over the years most bioinformatics people amass a collection of small utility scripts which make their lives easier. Too often they are kept either in private repositories or as part of a public collection to which noone else can contribute. Biocode...

diytranscriptomics.com - A semester-long course covering best practices for the analysis of high-throughput sequencing data from gene expression (RNA-seq) studies, with a primary focus on empowering students to be independent in the use of lightweight and open-source...

DEPARTMENT OF BIOTECHNOLOGY (UGC SAP and DST-FIST & PURSE Sponsored Department) ALAGAPPA UNIVERSITY (A State University Accredited by NAAC with „A‟ Grade) Karaikudi - 630 004, India WALK IN INTERVIEW A walk-in Interview for the...

bioinfologics.github.io - What is a k-mer anyway? A k-mer is just a sequence of k characters in a string (or nucleotides in a DNA sequence). Now, it is important to remember that to get all k-mers from a sequence you need to get...

No of vacancies: 01 Pay scale: Pay Band of Rs. 37400-67000 with AGP of Rs. 9000. i. Educational Qualification: Good academic record with a Ph.D. Degree in the concerned/allied/relevant disciplines. ii. A Master's Degree with at least 55%...

github.com - There is a directory for each chapter of the book. Each directory contains a test.py program you can use with pytest to check that you have written the program correctly. I have included a short README to describe each exercise....

See an organised list of all the animations: http://doctorprodigious.wordpress.com/hd-animations/

https://gold.jgi.doe.gov/ - GOLD:Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. https://gold.jgi.doe.gov/