Computer Aided Protein Structure Prediction; Identification of Vaccine
Candidates (T-Epitope prediction); Analysis of Nucleotide/Protein Sequences; Development of Web Server/
Software; Creation of Public Domain Resources in Biology
Present...
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.
Keep scrolling. Using a data set about homes, we will...
en.wikibooks.org - Employing different technologies, the purpose of NGS platform is to decode the identity or modification on the nucleotides. NGS platforms evolve quickly and capture the main stream.
This bookmark is created to provide NGS online books links.
If you’re starting out in bioinformatics or looking to sharpen your computational biology skills, having the right learning resources makes all the difference. Here’s my curated list of 10 must-read books — from beginner-friendly introductions to...
modeloriented.github.io - The modelStudio package automates the explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of a serverless HTML site.
It...
Abstract:
Background/Motivation:
The dearth of structural information on alpha helical membrane protein (MPs) has hindered thus far the development of reliable knowledge –based potentials that can be used for automatic prediction of...
We have a great pleasure to invite you to the NGSymposium in Computational Biology to celebrate the 5th anniversary of the NGSchool Summer Schools. This international conference will make way for exchanging knowledge and experiences between...
Modern sequencing technologies have turned biology into a data-heavy science. The human genome has about three billion DNA base pairs, and sequencing can produce massive datasets quickly. Bioinformatics helps organize and interpret this information,...