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

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...

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...

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

Scientists are now using artificial intelligence in order to examine sections of bacterial DNA that have not been looked at before. This method is showing potential RNA interactions and previously unknown genetic systems which could alter our...

www.cos.ufrj.br - Biostatistics did not spring fully formed from the brow of R. A. Fisher, but evolved over many years. This process is continuing, although it may not be obvious from the outside. It has been ten years since the first edition of this book appeared...

blogs.perl.org - this is a fourth blog post in the Machine learning in Perl series, focusing on the AI::MXNet, a Perl interface to Apache MXNet, a modern and powerful machine learning library. If you're interested in refreshing your memory or just new to the...