Friday, February 7, 2025

BIOINFORMATICS BOOKS

Top Bioinformatics Books to Read in 2023!

Bioinformatics has evolved over time from developing a few databases to creating complex algorithms and software models that can be used to solve complicated biological problems. To keep up with this fast-paced field of study, it has become necessary to read books providing in-depth knowledge about different aspects of bioinformatics. Here are some highly recommended bioinformatics books for people who want to explore this area further:

 

Computational Structural Biology and Drug Discovery

Bioinformatics

Proteomics

Statistics in Bioinformatics

R & Bioconductor

Python

Perl

AI & Machine Learning

Next Generation Sequencing Data Analysis

Others

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Must Read

dnaSORA: The AI Model Making Human Genome Reading as Simple as Point Clouds

dnaSORA: The AI Model Making Human Genome Reading as Simple as Point Clouds

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Understanding the human genome is often compared to deciphering an ancient, complex language with three billion characters. While AI has made great strides in...
Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework

Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework

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In the ever-evolving field of bioinformatics, automation has become a necessity for handling complex genomic data efficiently. A recent study by researchers at Hong...
Revolutionizing Cancer Diagnosis and Treatment: The Transformative Role of AI in Oncology

Revolutionizing Cancer Diagnosis and Treatment: The Transformative Role of AI in Oncology

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Artificial intelligence is revolutionizing the diagnosis, treatment, and treatment of cancer. AI overcomes the drawbacks of traditional diagnostic methods by increasing accuracy to optimize...
NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction

NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction

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RNA, often overshadowed by its protein counterpart, plays an essential role in the molecular machinery of life. Predicting RNA’s three-dimensional (3D) structure is a...
MDGEN: Unlocking New Frontiers in Molecular Dynamics with Generative AI

MDGEN: Unlocking New Frontiers in Molecular Dynamics with Generative AI

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As a paradigm for developing adaptable multi-task surrogate models of MD from data, researchers from the Massachusetts Institute of Technology present generative modeling of...