http://etetoolkit.org - ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics.
The new features include
(i) building gene-based and...
eyechrom.com - It's goal is to show chromosmal data per genus. Select the genus, and the plot will show the records found for it in the Chromosome Counts Database. note: Report an issue via Gihub: github.com/roszenil/CCDBcurator and...
sysomics.com - DeepHiC is a GAN-based model for enhancing Hi-C data resolution. We developed this server for helping researchers to enhance their own low-resolution data by a few steps of clicks. Ab initio training could be performed according to our published...
www.encodeproject.org - The ENCODE project uses Reference Genomes from NCBI or UCSC to provide a consistent framework for mapping high-throughput sequencing data. In general, ENCODE data are mapped consistently to 2 human (GRCH38, hg19) and 2 mouse...
Ruby was created by Yukihiro Matsumoto, who wished to create a new language that balanced functional programming with imperative programming
Ruby is a dynamic, reflective, general purpose object-oriented programming language that combines syntax...
www.tutorialspoint.com - Online coding group for most of the programming languages.
Code in almost all popular languages using Coding Ground. Edit, compile, execute and share your projects, 100% cloud.
http://www.tutorialspoint.com/codingground.htm
Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...
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 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...