BOL

github.com - Module 1: Statistics for genomics (2-8 August 2021) A simple intro to statistical distributions hypothesis testing linear...

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...

NVIDIA and the Arc Institute have introduced Evo 2, a groundbreaking AI model designed to understand, predict, and generate DNA sequences. This marks a major advancement in computational biology, offering scientists an unprecedented tool to decode...

Learning resources !

Using an LLM and understanding how it actually works.

Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application....

This script is one of my old script to detect some centromeric pattern in chromosomes. User can also control the number of mismatches allowed through command line .. To run: perl centro.pl

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...

onlinecourses.science.psu.edu - One of our primary focuses will be to develop an understanding of the various ways in which we can assign a probability to some chance event. We'll also learn the fundamental properties of probability, investigate how probability behaves,...

homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...