Lab Library

This is a gallery of Our Lab Books. If you’d like to add your book to this list, simply add an entry to this library.yml file and open a Pull Request to add it. 🖱️ Click cover image will help you know more .

The Molecular Basis of Cancer (4th edition)

C++ Concurrency IN ACTION

Algorithms Illuminated Part 4 Algorithm for NP-HARD Problems

Introduction to Algorithms

Deep Learning

All Statistics A concise Course in Statistical Inference

The Algorithm Design Manual

High Performance Python

Natural Language Processing with Transformer

Deep Learning for the Life Sciences, Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Effective Modern C++

Bioinformatics Algorithms Design and Implementation in Python

RNA-seq Data Analysis A Practical Approach

Accelerated C++

Practial Natural Language Processing

Python Testing with pytest

Algorithms Illuminated Part 1 The Basics

How the NIH Can Help You Get Funded

Rust for Rustaceans Idiomatic Programming for Experienced Developers

The Human Genome in Health and Disease

Deep Learning with Python

Machine Learning With Python Cookbook

Rust Atomics and Locks Low-Level Concurrency in Practice

Genetics and Genomics in Medicine

Reinforcement Learning An Introduction

Mastering Python for Bioinformatics

Molecular Data Analysis Using R

Modern C++ Programming Cookbook - Master C++ core Language

GANs IN ACTION

Computational Genomics With R

Algorithms Illuminated Part 3 Greedy Algorithms and Dynamic Programming

Hands-On Design Patterns with C++

Variant Calling Methods and Protocols

Genome-Scale Algorithm Design

Generative Deep Learning

Integer Linear Programming In Computational and Systems Biology

Refactoring - Improving the design of existing code

Bayesian Modeling and Computation in Python

Computational Exome and Genome Analysis

Algorithms for next-generation sequencing

Bioinformatics Algorithms An Active Learning Approach

Algorithms Illuminated Part 2 Graph Algorithms and Data Structures