Computational Genome Analysis: An Introduction

Computational Genome Analysis: An Introd

📁 Computational Genome Analysis: An Introduction

✍ Richard C. Deonier, Simon Tavaré, Michael S. Waterman 📂 Library 📅 2005 🏛 Springer 🌐 English

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features

Computational Genome Analysis: An Introd

📁 Computational Genome Analysis: An Introduction

✍ Richard C. Deonier, Simon Tavaré, Michael S. Waterman 📂 Library 📅 2005 🏛 Springer 🌐 English

<P>This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book featur

Computational Genome Analysis: An Introd

📁 Computational Genome Analysis: An Introduction

✍ Richard C. Deonier, Simon Tavaré, Michael S. Waterman 📂 Library 📅 2010 🏛 Springer 🌐 English

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features

Computational genome analysis: An introd

📁 Computational genome analysis: An introduction

✍ Deonier R.C., Tavare S., Waterman M.S. 📂 Library 📅 2005 🏛 Springer 🌐 English

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features

Computational Genome Analysis: An Introd

📁 Computational Genome Analysis: An Introduction

✍ Richard C. Deonier, Michael S. Waterman, Simon Tavaré (auth.) 📂 Library 📅 2005 🏛 Springer 🌐 English

<p><P>Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understan

Computable Analysis: An Introduction

📁 Computable Analysis: An Introduction

✍ Klaus Weihrauch 📂 Library 📅 2000 🏛 Springer 🌐 English

Is the exponential function computable? Are union and intersection of closed subsets of the real plane computable? Are differentiation and integration computable operators? Is zero finding for complex polynomials computable? Is the Mandelbrot set decidable? And in case of computability, what is the