BOL

This is a comprehensive guide to prepare for your next coding interview. It's great for recent graduates and has questions and practice materials structured from traditional big tech interview formats.While it does not include the latest...

A while ago we posted a request for online resources on must-read papers in evolutionary biology, for a literature club. We received many answers in the meantime

bioinformatics-core-shared-training.github.io - One of the best tutorial for beginners ... https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html

The premise of Assassin's Creed is the reliving of other people's memories stored inside DNA. Well scientists have found that in mice, it actually happens! Anthony is joined by special guest and our friend Tara Long from Hard Science to explain how...

carpentries-incubator.github.io - A lesson introducing the Snakemake workflow system for bioinformatics analysis. Prerequisites This is an intermediate lesson and assumes learners have already done some bioinformatics: Familiarity with the BASH command shell, including...

www.r2d3.us - In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/

C. Titus Brown http://video.open-bio.org/video/1/a-history-of-bioinformatics-in-the-year-2039

I would like to invite everyone interested in the subject of machine learning in life science, to test APMC module, it`s a fully automatic tool (created by students) to simply create and develop supervised machine learning models for...

pypi.org - DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a...

github.com - Turn (almost) any Python command line program into a full GUI application with one line The easiest way to install Gooey is via pip pip install Gooey Alternatively, you can install Gooey by cloning the project to your local directory git...