Beginner's Guide to Bioinformatics

$9.99

Taxes may apply at checkout.

Beginner's Guide to Bioinformatics

How Data, AI, ML, and Genomics Are Revolutionizing Health and Biotechnology

Author: C. Louis-Charles

Dinosaur mascot

Language: English

Published by: Distributed By PublishDrive

Published on: 17th June 2026

Format: LCP-protected ePub

Size: 341 pages

ISBN: 9798904982065


Somewhere in your body right now, a decision is waiting to be made. Maybe it has already been made on your behalf-quietly, in a laboratory you never visited, by a program running on a server you have never seen. A blood sample was drawn at a routine checkup, a tumor sequence was compared to thousands of others, a rare-disease panel returned an answer after years of inconclusive testing. The science behind those decisions is bioinformatics, and whether you recognize the word or not, it is already part of your story.

Beginner's Guide to Bioinformatics is a plain-English introduction to that science for patients, families, students, journalists, advocates, and curious general readers. The book takes no biology, computing, or statistics background for granted, builds the science from first principles, and grounds every chapter in a sustained narrative inside the fictional Meridian Genomics Initiative at Meridian University Medical Center in Baltimore, Maryland. Four guides carry the arc-Dr. Aminata Okafor, the director who insists on plain language; Marcus Chen, the lead bioinformatician who thinks in analogies; Dr. Priya Sharma, the precision-oncology specialist; and Lucia Vega, the genetic counselor who sits with families when results arrive. Their cases, conversations, and disagreements carry the science from one chapter to the next.

Across ten chapters, the book defines the genome, genomics, and bioinformatics in working English, then walks through DNA and the language of life, the sequencing technologies that read it, the computational pipelines that turn reads into variants, the role of AI and machine learning in interpreting genomic data, precision oncology, rare-disease diagnostics, pharmacogenomics, microbiome and metabolomic analysis, and the data, ethics, and equity questions that determine who actually benefits from this generation of medicine. By the final page, readers will have a working understanding of the field, the vocabulary to ask informed questions of their clinicians, and a foundation to think with-not borrowed opinions to repeat.

Show moreShow less