Biology

New to research? This is the one book you should read. It's got everything. It'll take you from choosing your project and starting out in a lab, through designing experiments, acquiring data and performing the appropriate analysis, and all the way on to writing up your work for publication, and presenting your work at conferences.

There are battles in life that no one can predict: Infertility is one of those. Only 50 years ago this battle would be lost, no matter what: we had to accept it (it's destiny, they say). Nowadays, technology allows to overcome this problem that affects millions of people.This is my true story about this battle.

Sistem Pengobatan Kedokteran Islami Ajaran Nabi Muhammad SAW Bersumberkan Dari Kitab Suci Al-Quran & Al-Hadist.

Mengenal Aneka Ragam Jenis Buah-Buahan Dan Sayuran Yang Berkhasiat Untuk Menghilangkan Stres Dan Depresi Serta Sangat Bermanfaat Untuk Kesehatan Jiwa, Mental Dan Spiritual.

Understanding the dynamics of epidemiology is indispensable to control infectious diseases. The Dynamics of Infectious Diseases will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.

Una sólida introducción a la programación con Python, muy accesible para los lectores sin experiencia previa en programación, aunque quienes tengan experiencia también pueden sacarle provecho. Python para bioinformática está pensado para biólogos, bioinformáticos y otros profesionales de las ciencias de la vida.

Una sólida introducción a la programación con Python, muy accesible para los lectores sin experiencia previa en programación, aunque quienes tengan experiencia también pueden sacarle provecho. Python para bioinformática está pensado para biólogos, bioinformáticos y otros profesionales de las ciencias de la vida.

Are you confident your statistical results are correct? To answer this, you need to know the concepts behind statistics. This book, and R code, focus on data with correlated errors that arise in mixed models and phylogenetic models. It will hopefully give you confidence to judge statistical methods and the results they produce. The book is free!

Survival is a relevant endpoint for many questions related to the effects of chemicals in the environment. Making sense of mortality, as a process over time, requires mechanism-based models, known as toxicokinetic-toxicodynamic (TKTD) models. All published TKTD models for survival can now be viewed as members of an over-arching framework: GUTS.

My e-book,41 pages,comments The EU Commission´s newly published 5 futureplans from the alternative thinker´s perspective.Commission´s interests broadened on the new,bolder ground,based in the author´s writings for a new paradigm of science and from it deduced new solutions.

Available as PDF+Code Files or on Amazon, Bio/Recursion explores computer science and bioinformatics via examples in the R programming language. Along the way, over 100 color illustrations, 150 code blocks, and dozens of exercises illuminate the text.

Pathogens evolve. Their evolution shapes how diseases spread, how deadly they become, and how our attempts to control them succeed or fail.This book explores infectious disease through the lens of evolution.

Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations.

Understanding the dynamics of biological systems is becoming indispensable knowledge for biologists. The Dynamics of Life will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.

Modern genetics increasingly relies on mathematical models and computational tools. Coding Genetics guides you through the core concepts of population genetics, from the dynamics of allele frequencies to the analysis of genomic data, and shows how to implement and explore these ideas by building models in R.