A high-signal read built around Computational Biology, Cancer Research, Bioinformatics, Oncology. It feels current because it aligns with read, 2026, excerpt, yet timeless because it focuses on fundamentals.
ISBN: 9798273100732 Published: October 20, 2025 Computational Biology, Cancer Research, Bioinformatics, Oncology, Data Science, Genomics, Systems Biology, Machine Learning, Precision Medicine, Medical Data Analysis, Cancer Genomics, Personalized Medicine
What you’ll learn
Build confidence with Precision Medicine-level practice.
Connect ideas to read, 2026 without the overwhelm.
Turn Systems Biology into repeatable habits.
Spot patterns in Oncology faster.
Who it’s for
Curious beginners who like gentle explanations. Ideal if you like practical notes and action lists.
How to use it
Use it as a reference: revisit highlights before big tasks. Bonus: share one quote with a friend—teaching locks it in.
Computational Biology, Cancer Research, Bioinformatics, Oncology, Data Science, Genomics, Systems Biology, Machine Learning, Precision Medicine, Medical Data Analysis, Cancer Genomics, Personalized Medicine
Trending context
read, 2026, excerpt, time, romance, stephen
Best reading mode
Daily 15 minutes
Ideal outcome
Better decisions
social proof (editorial)
Why people click “buy” with confidence
Reader vibe
People who like actionable learning tend to finish this one.
Confidence
Multiple review styles below help you self-select quickly.
Editor note
Clear structure, memorable phrasing, and practical examples that stick.
Fast payoff
You can apply ideas after the first session—no waiting for chapter 10.
These are editorial-style demo signals (not verified marketplace ratings).
context
Headlines that connect to this book
We pick items that overlap the title/keywords to show relevance.
I’ve already recommended it twice. The Computational Biology chapter alone is worth the price.
Harper Quinn • Librarian
Feb 16, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Iris Novak • Writer
Feb 10, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Medical Data Analysis part hit that hard.
Harper Quinn • Librarian
Feb 13, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Nia Walker • Teacher
Feb 13, 2026
Okay, wow. This is one of those books that makes you want to do things. The Oncology framing is chef’s kiss.
Lina Ahmed • Product Manager
Feb 11, 2026
A friend asked what I learned and I could actually explain it—because the Precision Medicine chapter is built for recall.
Leo Sato • Automation
Feb 14, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Data Science made me instantly calmer about getting started.
Lina Ahmed • Product Manager
Feb 14, 2026
A friend asked what I learned and I could actually explain it—because the Computational Biology chapter is built for recall.
Jules Nakamura • QA Lead
Feb 9, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Cancer Genomics made me instantly calmer about getting started.
Omar Reyes • Data Engineer
Feb 9, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Oncology sections feel super practical. (Side note: if you like Foundations of Graphics & Compute - Volume 3: Computing (Hardback), you’ll likely enjoy this too.)
Nia Walker • Teacher
Feb 14, 2026
The time tie-ins made it feel like it was written for right now. Huge win.
Harper Quinn • Librarian
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Genomics sections feel super practical.
Nia Walker • Teacher
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The Machine Learning framing is chef’s kiss.
Omar Reyes • Data Engineer
Feb 10, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Machine Learning sections feel super practical.
Leo Sato • Automation
Feb 14, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Computational Biology made me instantly calmer about getting started.
Harper Quinn • Librarian
Feb 10, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Genomics sections feel super practical.
Maya Chen • UX Researcher
Feb 15, 2026
If you care about conceptual clarity and transfer, the stephen tie-ins are useful prompts for further reading.
Benito Silva • Analyst
Feb 9, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Genomics sections feel field-tested. (Side note: if you like Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, you’ll likely enjoy this too.)
Maya Chen • UX Researcher
Feb 15, 2026
The book rewards re-reading. On pass two, the Cancer Genomics connections become more explicit and surprisingly rigorous.
Omar Reyes • Data Engineer
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Personalized Medicine sections feel super practical.
Maya Chen • UX Researcher
Feb 9, 2026
The book rewards re-reading. On pass two, the Systems Biology connections become more explicit and surprisingly rigorous.
Benito Silva • Analyst
Feb 13, 2026
I’m usually wary of hype, but Introduction to Computational Cancer Biology earns it. The Computational Biology chapters are concrete enough to test.
Noah Kim • Indie Dev
Feb 12, 2026
A solid “read → apply today” book. Also: romance vibes.
Zoe Martin • Designer
Feb 15, 2026
If you enjoyed Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, this one scratches a similar itch—especially around time and momentum.
Noah Kim • Indie Dev
Feb 15, 2026
Practical, not preachy. Loved the Genomics examples.
Samira Khan • Founder
Feb 11, 2026
A friend asked what I learned and I could actually explain it—because the Data Science chapter is built for recall.
Theo Grant • Security
Feb 8, 2026
Practical, not preachy. Loved the Personalized Medicine examples.
Samira Khan • Founder
Feb 10, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Oncology part hit that hard.
Theo Grant • Security
Feb 11, 2026
Practical, not preachy. Loved the Machine Learning examples.
Iris Novak • Writer
Feb 9, 2026
If you enjoyed Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, this one scratches a similar itch—especially around 2026 and momentum.
Ava Patel • Student
Feb 12, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Ethan Brooks • Professor
Feb 16, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Systems Biology made me instantly calmer about getting started.
Theo Grant • Security
Feb 14, 2026
Practical, not preachy. Loved the Oncology examples.
Iris Novak • Writer
Feb 7, 2026
A friend asked what I learned and I could actually explain it—because the Systems Biology chapter is built for recall. (Side note: if you like WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), you’ll likely enjoy this too.)
Ava Patel • Student
Feb 14, 2026
A friend asked what I learned and I could actually explain it—because the Data Science chapter is built for recall.
Leo Sato • Automation
Feb 11, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Jules Nakamura • QA Lead
Feb 14, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Personalized Medicine sections feel super practical.
Samira Khan • Founder
Feb 13, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Personalized Medicine part hit that hard.
Theo Grant • Security
Feb 14, 2026
Fast to start. Clear chapters. Great on Cancer Genomics.
Iris Novak • Writer
Feb 16, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Genomics part hit that hard.
Theo Grant • Security
Feb 13, 2026
A solid “read → apply today” book. Also: read vibes.
Iris Novak • Writer
Feb 16, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around time and momentum. (Side note: if you like WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), you’ll likely enjoy this too.)
Noah Kim • Indie Dev
Feb 11, 2026
Fast to start. Clear chapters. Great on Precision Medicine.
Omar Reyes • Data Engineer
Feb 7, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Personalized Medicine sections feel super practical.
Sophia Rossi • Editor
Feb 8, 2026
The 2026 tie-ins made it feel like it was written for right now. Huge win.
Leo Sato • Automation
Feb 11, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Genomics sections feel super practical.
Zoe Martin • Designer
Feb 9, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around time and momentum.
Harper Quinn • Librarian
Feb 8, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Precision Medicine made me instantly calmer about getting started.
Nia Walker • Teacher
Feb 8, 2026
I’ve already recommended it twice. The Precision Medicine chapter alone is worth the price.
Lina Ahmed • Product Manager
Feb 8, 2026
If you enjoyed Foundations of Graphics & Compute - Volume 3: Computing (Hardback), this one scratches a similar itch—especially around 2026 and momentum.
Nia Walker • Teacher
Feb 14, 2026
The time tie-ins made it feel like it was written for right now. Huge win.
Benito Silva • Analyst
Feb 11, 2026
I’m usually wary of hype, but Introduction to Computational Cancer Biology earns it. The Data Science chapters are concrete enough to test.
Noah Kim • Indie Dev
Feb 9, 2026
A solid “read → apply today” book. Also: excerpt vibes.
Zoe Martin • Designer
Feb 12, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Cancer Research part hit that hard.
Noah Kim • Indie Dev
Feb 14, 2026
Practical, not preachy. Loved the Cancer Research examples.
Zoe Martin • Designer
Feb 11, 2026
If you enjoyed Foundations of Graphics & Compute - Volume 3: Computing (Hardback), this one scratches a similar itch—especially around stephen and momentum.
Nia Walker • Teacher
Feb 14, 2026
I’ve already recommended it twice. The Data Science chapter alone is worth the price.
Lina Ahmed • Product Manager
Feb 15, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Machine Learning part hit that hard. (Side note: if you like Foundations of Graphics & Compute - Volume 3: Computing (Hardback), you’ll likely enjoy this too.)
Ethan Brooks • Professor
Feb 9, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Bioinformatics made me instantly calmer about getting started.
Theo Grant • Security
Feb 13, 2026
Fast to start. Clear chapters. Great on Cancer Genomics.
Jules Nakamura • QA Lead
Feb 10, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Cancer Genomics made me instantly calmer about getting started.
Samira Khan • Founder
Feb 8, 2026
If you enjoyed Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, this one scratches a similar itch—especially around stephen and momentum.
Maya Chen • UX Researcher
Feb 13, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Genomics arguments land.
Zoe Martin • Designer
Feb 13, 2026
A friend asked what I learned and I could actually explain it—because the Bioinformatics chapter is built for recall.
Jules Nakamura • QA Lead
Feb 17, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Cancer Genomics made me instantly calmer about getting started.
Iris Novak • Writer
Feb 13, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around time and momentum.
Benito Silva • Analyst
Feb 8, 2026
Not perfect, but very useful. The romance angle kept it grounded in current problems.
Maya Chen • UX Researcher
Feb 11, 2026
If you care about conceptual clarity and transfer, the time tie-ins are useful prompts for further reading.
Omar Reyes • Data Engineer
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Personalized Medicine sections feel super practical.
Sophia Rossi • Editor
Feb 16, 2026
The stephen tie-ins made it feel like it was written for right now. Huge win.
Leo Sato • Automation
Feb 15, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Cancer Research sections feel super practical.
Lina Ahmed • Product Manager
Feb 13, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around time and momentum.
Noah Kim • Indie Dev
Feb 17, 2026
Fast to start. Clear chapters. Great on Data Science.
Harper Quinn • Librarian
Feb 7, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Ava Patel • Student
Feb 12, 2026
A friend asked what I learned and I could actually explain it—because the Data Science chapter is built for recall.
Jules Nakamura • QA Lead
Feb 9, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Cancer Genomics made me instantly calmer about getting started.
Iris Novak • Writer
Feb 16, 2026
A friend asked what I learned and I could actually explain it—because the Cancer Genomics chapter is built for recall.
Ava Patel • Student
Feb 11, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Machine Learning part hit that hard.
Jules Nakamura • QA Lead
Feb 12, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Feb 10, 2026
If you enjoyed Foundations of Graphics & Compute - Volume 3: Computing (Hardback), this one scratches a similar itch—especially around time and momentum.
Ava Patel • Student
Feb 14, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Machine Learning part hit that hard.
Jules Nakamura • QA Lead
Feb 17, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Personalized Medicine sections feel super practical.
Samira Khan • Founder
Feb 14, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Personalized Medicine part hit that hard.
Omar Reyes • Data Engineer
Feb 14, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 17, 2026
I’ve already recommended it twice. The Bioinformatics chapter alone is worth the price.
Ethan Brooks • Professor
Feb 13, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Lina Ahmed • Product Manager
Feb 16, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around 2026 and momentum.
Theo Grant • Security
Feb 11, 2026
Fast to start. Clear chapters. Great on Systems Biology.
Ethan Brooks • Professor
Feb 16, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Omar Reyes • Data Engineer
Feb 8, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Ava Patel • Student
Feb 8, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Machine Learning part hit that hard.
Leo Sato • Automation
Feb 8, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Samira Khan • Founder
Feb 14, 2026
If you enjoyed Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, this one scratches a similar itch—especially around time and momentum.
Omar Reyes • Data Engineer
Feb 10, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 12, 2026
I’ve already recommended it twice. The Systems Biology chapter alone is worth the price.
Samira Khan • Founder
Feb 8, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around stephen and momentum.
Leo Sato • Automation
Feb 8, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Medical Data Analysis sections feel super practical.
Harper Quinn • Librarian
Feb 7, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Computational Biology made me instantly calmer about getting started.
Ava Patel • Student
Feb 9, 2026
A friend asked what I learned and I could actually explain it—because the Computational Biology chapter is built for recall.
Leo Sato • Automation
Feb 8, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Precision Medicine made me instantly calmer about getting started.
Samira Khan • Founder
Feb 14, 2026
A friend asked what I learned and I could actually explain it—because the Precision Medicine chapter is built for recall.
Omar Reyes • Data Engineer
Feb 17, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 12, 2026
Okay, wow. This is one of those books that makes you want to do things. The Cancer Research framing is chef’s kiss. (Side note: if you like Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, you’ll likely enjoy this too.)
Samira Khan • Founder
Feb 11, 2026
A friend asked what I learned and I could actually explain it—because the Computational Biology chapter is built for recall.
Lina Ahmed • Product Manager
Feb 10, 2026
A friend asked what I learned and I could actually explain it—because the Precision Medicine chapter is built for recall.
Noah Kim • Indie Dev
Feb 15, 2026
Fast to start. Clear chapters. Great on Data Science.
Nia Walker • Teacher
Feb 12, 2026
Okay, wow. This is one of those books that makes you want to do things. The Personalized Medicine framing is chef’s kiss.
Harper Quinn • Librarian
Feb 14, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Data Science made me instantly calmer about getting started.
Maya Chen • UX Researcher
Feb 15, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Medical Data Analysis arguments land.
Omar Reyes • Data Engineer
Feb 8, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Sophia Rossi • Editor
Feb 8, 2026
Okay, wow. This is one of those books that makes you want to do things. The Cancer Research framing is chef’s kiss.
Jules Nakamura • QA Lead
Feb 12, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Bioinformatics made me instantly calmer about getting started.
Ethan Brooks • Professor
Feb 8, 2026
It pairs nicely with what’s trending around excerpt—you finish a chapter and think: “okay, I can do something with this.”
Omar Reyes • Data Engineer
Feb 9, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Cancer Genomics made me instantly calmer about getting started.
Ava Patel • Student
Feb 9, 2026
A friend asked what I learned and I could actually explain it—because the Precision Medicine chapter is built for recall.
Leo Sato • Automation
Feb 16, 2026
This is the rare book where I highlight a lot, but I also use the highlights. The Cancer Research sections feel super practical.
Samira Khan • Founder
Feb 8, 2026
I read one section during a coffee break and ended up rewriting my plan for the week. The Oncology part hit that hard.
Omar Reyes • Data Engineer
Feb 15, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Bioinformatics made me instantly calmer about getting started.
Sophia Rossi • Editor
Feb 15, 2026
I’ve already recommended it twice. The Cancer Genomics chapter alone is worth the price.
Zoe Martin • Designer
Feb 14, 2026
A friend asked what I learned and I could actually explain it—because the Bioinformatics chapter is built for recall.
Harper Quinn • Librarian
Feb 12, 2026
It pairs nicely with what’s trending around read—you finish a chapter and think: “okay, I can do something with this.”
Ava Patel • Student
Feb 8, 2026
A friend asked what I learned and I could actually explain it—because the Data Science chapter is built for recall.
Nia Walker • Teacher
Feb 9, 2026
Okay, wow. This is one of those books that makes you want to do things. The Machine Learning framing is chef’s kiss. (Side note: if you like Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders, you’ll likely enjoy this too.)
Benito Silva • Analyst
Feb 11, 2026
I’m usually wary of hype, but Introduction to Computational Cancer Biology earns it. The Precision Medicine chapters are concrete enough to test.
Noah Kim • Indie Dev
Feb 16, 2026
Practical, not preachy. Loved the Medical Data Analysis examples.
Sophia Rossi • Editor
Feb 8, 2026
The stephen tie-ins made it feel like it was written for right now. Huge win.
Noah Kim • Indie Dev
Feb 16, 2026
A solid “read → apply today” book. Also: romance vibes.
Leo Sato • Automation
Feb 7, 2026
I didn’t expect Introduction to Computational Cancer Biology to be this approachable. The way it frames Computational Biology made me instantly calmer about getting started.
Benito Silva • Analyst
Feb 15, 2026
What surprised me: the advice doesn’t collapse under real constraints. The Cancer Research sections feel field-tested. (Side note: if you like Foundations of Graphics & Compute - Volume 3: Computing (Hardback), you’ll likely enjoy this too.)
Maya Chen • UX Researcher
Feb 7, 2026
The book rewards re-reading. On pass two, the Bioinformatics connections become more explicit and surprisingly rigorous.
Lina Ahmed • Product Manager
Feb 17, 2026
If you enjoyed WebGPU Programming Guide: Interactive Graphics & Compute Programming with WebGPU & WGSL (Paperback), this one scratches a similar itch—especially around stephen and momentum.
Theo Grant • Security
Feb 9, 2026
Fast to start. Clear chapters. Great on Bioinformatics.
Benito Silva • Analyst
Feb 17, 2026
Not perfect, but very useful. The read angle kept it grounded in current problems.
Ava Patel • Student
Feb 14, 2026
If you enjoyed Foundations of Graphics & Compute - Volume 3: Computing (Hardback), this one scratches a similar itch—especially around time and momentum.
Nia Walker • Teacher
Feb 7, 2026
Okay, wow. This is one of those books that makes you want to do things. The Oncology framing is chef’s kiss.
Benito Silva • Analyst
Feb 11, 2026
Not perfect, but very useful. The excerpt angle kept it grounded in current problems.
Noah Kim • Indie Dev
Feb 13, 2026
Fast to start. Clear chapters. Great on Computational Biology.
Maya Chen • UX Researcher
Feb 9, 2026
From a structural standpoint, the text creates a coherent ladder: definitions → examples → constraints → application. That’s why the Genomics arguments land.
Ethan Brooks • Professor
Feb 9, 2026
It pairs nicely with what’s trending around romance—you finish a chapter and think: “okay, I can do something with this.”
Demo thread: varied voice, nested replies, topic-matching language. Replace with real community posts if you collect them.
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Quick answers
Yes—use the Key Takeaways first, then read chapters in the order your curiosity pulls you.
Try 12 minutes reading + 3 minutes notes. Apply one idea the same day to lock it in.
Themes include Computational Biology, Cancer Research, Bioinformatics, Oncology, Data Science, plus context from read, 2026, excerpt, time.
Use the Buy/View link near the cover. We also link to Goodreads search and the original source page.
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