BOL

code.google.com - You are requested to please bookmark collection of bioinformatics tools, scripts, codes that can be pieced together in a very easy and flexible manner to perform both simple and complex bioinformatics tasks. The next-generation sequencing included...

milkweedgenome.org - Some of the useful bioinformatics scripts. For example ... contig-stats.pl is a Perl script that will automatically describe features of a sequence assembly. http://milkweedgenome.org/?q=scripts

scikit-learn.org - Machine Learning in Python Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license More...

Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial...

cosmos.hms.harvard.edu - COSMOS, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via Advance Access in Bioinformatics (Gafni et al....

Python 3.5 to include ‘type hinting’

INDIAN INSTITUTE OF SPICES RESEARCH (Indian Council of Agricultural Research) Marikunnu P.O., Kozhikode – 673 012, Kerala Phone No. 0495 2731 410 WALK -IN- TEST CUM INTERVIEW Walk- in- Test cum Interview (based on test) for the selection of...

Efflux pumps (RND family) Functioning of efflux systems in Gram-negative bacteria Determinants of the compound-efflux system interactions Action of inhibitors on efflux systems Structural and dynamical features of the efflux...

Broad area of research: Genome Annotation and Functional Genomics Bergman Lab is actively engaged in the development and application of computational methods to improve the annotation of functional biological features in genome sequences....

Creators of software widely used in computational biology discuss the factors that contributed to their success