Genome Visualization
Explore genome visualization techniques using tools like BRIG, CGView, Artemis, and Python. Learn to create volcano plots, analyze pangenomes, and generate heatmaps for bioinformatics research.
Data Mining - Biological Databases
Learn to mine biological databases, download gene expression data, and use tools like TCGA, NCBI, and SRA toolkit for bioinformatics research. Covers Python and R programming for data analysis.
Biology
Explore diverse biological topics from genome annotation to animal sentience with expert insights on evolution, neuroscience, genetics, and more. Gain a comprehensive understanding of cutting-edge research in various fields of biology.
Genetics
Explore genetics through expert lectures on topics like genome annotation, behavioral genetics, and the interplay between genes and environment. Gain insights into cutting-edge research and applications.
The Use of Biomarkers in Social Science Research
Explore biomarkers in social science research, covering topics from height and weight to omics data and epigenetics, and their impact on disease risk and social interactions.
Ötzi the Iceman and the Copper Age World
Explore the life, death, and world of Ötzi, a 5,300-year-old mummy discovered in the Alps, offering insights into Copper Age society, technology, and human migration in prehistoric Europe.
ENSEMBL Genome Browser
Learn to navigate and utilize the ENSEMBL Genome Browser, including BLAST, synteny viewing, and Biomart, in this comprehensive tutorial for beginners.
R Tutorials
Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.
Sequencing Tutorial
Learn essential steps in RNA-seq analysis: data download, quality control, trimming, alignment, indexing, and gene expression quantification using popular bioinformatics tools.
R Beginner
Learn to create basic graphs in R Studio, including bar plots, scatter plots, and box plots. Explore ggplot for data visualization and run simple programs for biological applications.
Bioinformatics in Python - DNA Toolkit
Learn to build a comprehensive DNA toolkit in Python, covering nucleotide validation, transcription, GC content calculation, translation, protein search, and more for practical bioinformatics applications.
Rosalind Problems
Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.
Bioinformatics in Python
Learn Python-based bioinformatics techniques for DNA analysis, including nucleotide counting, transcription, GC content calculation, and protein search, while solving Rosalind problems and refactoring code.
Bioinformatics Tools in Python with Qt
Learn to program bioinformatics tools in Python with Qt in less than an hour. rebelScience.
RNAseq Analysis
Comprehensive guide to RNAseq analysis, covering DEGs, enrichment analysis, data manipulation, and WGCNA, with practical R tutorials for bioinformatics beginners.
RStudio Tutorial
Comprehensive RStudio tutorial covering statistical analysis, data visualization, bioinformatics, machine learning, and more. Ideal for beginners and advanced users seeking practical skills in R programming.
Bioinformatics
Comprehensive bioinformatics tutorials covering RNA-seq analysis, data visualization, statistical methods, and cancer genomics using R and other tools.
Fundamentals of Bioinformatics
Comprehensive introduction to bioinformatics, covering biological information, microbiome science, Python programming, sequence alignment, Linux, and machine learning for aspiring bioinformaticians.
Microbiome Bioinformatics with QIIME 2 - Online Workshop
Learn QIIME 2 for microbiome bioinformatics analysis, covering data import, denoising, taxonomic assignment, diversity metrics, and statistical testing using a Parkinson's disease mouse study.
QIIME 2 Cancer Microbiome Intervention Tutorial
Comprehensive tutorial on using QIIME 2 for cancer microbiome intervention analysis, covering data import, processing, diversity metrics, and longitudinal studies through Galaxy interface or command line.
Computing Skills for Bioinformatics
Learn essential Linux, regular expressions, and Python 3 skills for bioinformatics, covering command-line operations, text manipulation, and programming fundamentals.