BOL

github.com - HECIL—Hybrid Error Correction with Iterative Learning—a hybrid error correction framework that determines a correction policy for erroneous long reads, based on optimal combinations of decision weights obtained from short read...

github.com - Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license. Detail tutorial at https://janggu.readthedocs.io/en/latest/ USE...

https://r-graphics.org/ - R is powerful tool for data analysis, visualization, and machine learning. And it costs $0 to use! Here are six FREE books you can use to learn R...

github.com - The RAVEN (Reconstruction, Analysis and Visualization of Metabolic Networks) Toolbox 2 is a software suite for Matlab that allows for semi-automated reconstruction of genome-scale models (GEMs). It makes use of published models and/or KEGG, MetaCyc...

Package suites gather software packages and installation tools for specific languages or platforms. We have some for bioinformatics software.

github.com - Progressive Cactus is a whole-genome alignment package. Distribution package for the Prgressive Cactus multiple genome aligner. Dependencies are linked as submodules https://github.com/glennhickey/progressiveCactus

web.mit.edu - The following is a step-by-step guide to creating your own R package.  Even beyond this course, youmay find this useful for storing functions you create for your own research or for editing existingR packages to suit your needs. This guide...

academic.oup.com - Motivation: The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the...

datastorm-open.github.io - visNetwork is an R package for network visualization, using vis.js javascript library (http://visjs.org/). All remarks and bugs are welcome on github : https://github.com/datastorm-open/visNetwork. Features Based...

https://www.rplumber.io/ - plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example. # plumber.R #* Echo back the input #* @param msg The message to echo #* @get /echo function(msg=""){...