Biology
BMS5021 - Introductory Bioinformatics Manual
by Dr Lochlan Fennell
This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] Welcome to the beginning of the bioinformatics component of BMS5021 - Introductory Bioinformatics. Over the past four weeks, you have taken a crash course in the fundamentals of molecular biology. These concepts underpin the analyses we do in bioinformatics. Bioinformatics combines the strengths of computer science, statistics, and biology in order to analyse and interpret large-scale biological data, ultimately ... Read more →
pctax: Analyzing Omics Data with R
by Chen Peng
Chen Peng Omics technologies have found extensive applications in biology, encompassing disciplines such as microbiome studies, transcriptomics, metabolomics, and beyond. These technologies generate diverse datasets based on distinct methodologies. Following specific upstream processing, omics data is often transformed into feature abundance tables, representing entities like genes, metabolites, or taxa. These feature abundance tables, coupled with experimental design metadata and various annotation data, serve as the foundation for downstream bioinformatics analysis and visualization, … Read more →
Inquiry and Analysis in Biology
by Jeff Wesner, Ph.D., University of South Dakota, Department of Biology, Joseph Raiche, Ph.D., University of South Dakota, Department of English
Erich Von Wolf, as the legend goes, was a German Chemist and researcher in the latter half of the 19th century who in 1870 “published” his findings on the iron content of several items including milk, beef, asparagus, and what has garnered far too much attention, spinach. The legend goes that when recording the iron content of spinach, he inadvertently moved the decimal point one space to the right. This caused a ten-fold increase in the reported iron content of the leafy green. The error was left unchallenged until 1936. Seven years earlier the New York’s Evening Journal’s long running comic … Read more →
BS2004: Molecular and Cellular Biology II
by Kevin Fo
This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a bookdown site authored for the AY 2021 - 2022 edition of BS2004: Molecular and Cellular Biology ... Read more →
Biology for environmental management pocketguide
by cjlortie
This a brief overview of how to use biology for inform decision making for environmental grand challenges we face globally. […] Welcome to biology for environmental management. The goal of this course is to examine global grand challenges that we face through the lens of solutions from science. Science can be magical because it provides us with incredible outcomes in so many domains of the human endeavour. Here, we work to find the magic spells from science for the environment to promote the well-being of people and the planet. There is an opportunity for us to mobilize science to do social … Read more →
STM1001: Foundational Biology for Analyses of Biological Data
STM1001 Biology (Science/Health/Data Science Streams) […] Welcome to another content supplement for the Science, Health and Data Science streams of STM1001. Throughout the semester, as we cover different aspects of statistics and data science, supplementary documents such as this one will be used to enhance your learning experience. This document contains material to support your learning as you complete Computer Lab 8B of the Science, Health or Data Science streams. We recommend that you take a few minutes to browse the different sections in this document (just click on the sections in the … Read more →
BS2002: Microbiology
by Curated by: Kevin Fo
This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::gitbook, set in the _output.yml file. [...] This is a website I (Kevin) made using the R package bookdown for the NTU SBS course BS2002: Microbiology. More information about this site will be shown in the following sections. This website was authored for the semester 1, NTU academic year 2021 - 2022 edition of BS2002. At the time of your visit, weeks, months, or even years may have passed (hence rendering the website’s content outdated if no edits are made). ... Read more →
Aoyue Bi’s Study Notes
by Aoyue Bi
This is a book recording the daily study during my PhD […] I began my studies in plant genetics with the ambition to work on deleterious mutations. My interests concentrate mainly on the application of quantitative genetics and computational biology to associate agriculturally important phenotypes. And now I am devoting myself to the study on biological effect of deleterious mutations on wheat genome. As a member of the VMap 2.0 project team, I think it is such an rare opportunity in life that I will cherish it and do my best. I like the following sentences and will share these to all of … Read more →
Statistical Methods II
by Derek L. Sonderegger
The second semester of an Intro Stats course designed for graduate students in Biology, Forestry, Ecology, etc. […] These notes are intended to be used in the second semester of a two-semester sequence of Statistical Methodology. We assume that students have seen t-tests, Simple Regression, and ANOVA. The second semester emphasizes the uniform matrix notation (y = X\beta + \epsilon) and the interpretation of the coefficients. We cover model diagnostics, transformation, model selection, interactions of continuous and categorical predictors as well as introduce random effects in the … Read more →
Computational Genomics with R
by Altuna Akalin
A guide to computationa genomics using R. The book covers fundemental topics with practical examples for an interdisciplinery audience […] The aim of this book is to provide the fundamentals for data analysis for genomics. We developed this book based on the computational genomics courses we are giving every year. We have had invariably an interdisciplinary audience with backgrounds from physics, biology, medicine, math, computer science or other quantitative fields. We want this book to be a starting point for computational genomics students and a guide for further data analysis in more … Read more →
DondeRs Group
by Henrik Eckermann
This bookdown-project contains introductory material to learn the R programming language […] Instructor: My name is Henrik. I am a PhD-candidate in the Developmental Psychobiology lab group at the Donders Institute in Nijmegen. I find that the R programming language is an extremely useful tool for Scientists, especially (but not only) for data analysis and visualization. I can help you learning the basics of the R programming language and how to approach learning a programming language so you can advance in learning whatever is needed in your specific field. Target audience: Anyone at … Read more →
Gopnik Guide to Biology
by Paulius Alaburda
Bandymas sukurti lengvą biologijos elektroninę knygą. […] Internetas Lietuvos švietimo įrankiams kol kas turėjo mažai įtakos. Vietoje popierinės knygutės atsirado elektroninės knygutės, pasiruošti valstybiniams egzaminams atsirado programėlės. Bet šie įrankiai susiję su kontrolės struktūromis sekti moksleivio progresą ir įvertinti, ar jis teisingai pasiruošė egzaminui. Tikra edukacija prasideda ne nuo pažymių ar atsiskaitymo po 12 metų, o pirminio klausimo - kodėl? Pirminė nuostaba, jog aplinka neatitinka mūsų vidinio realybės modelio pastumia imtis veiksmų išsiaiškinti, kur mes klydome ir … Read more →