Bioinformatics

Rosalind Bioinformatics Problems

Learn bioinformatics through problem-solving! Master coding and computational biology skills with the Rosalind Bioinformatics Problems course.

Introduction to Genomic Technologies

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.

Bioinformatics Specialization

Coursera course: Introduction to Bioinformatics

Introduction to Bioinformatics

Unlock the future of biological data analysis with our "Introduction to Bioinformatics" course. This comprehensive course combines bioinformatics, molecular biology, and computational techniques, equipping you with the skills to analyze complex biological and clinical data. Beginning with fundamental concepts, the course explores advanced topics like RNA sequencing analysis, single-cell genomics, gene-gene association studies, and medical text mining. You'll gain hands-on experience by working with real-world datasets from renowned databases such as NCBI, TCGA, and PubMed, using cutting-edge tools and frameworks. Our course balances theoretical understanding with practical implementation, priming you for roles in biotechnology, pharmaceuticals, and healthcare. Targeted at biology and computer science students, early-career scientists transitioning into bioinformatics, and healthcare professionals keen on computational methods for improved patient care, the course also suits data analysts and researchers seeking to enhance their bioinformatics skills. Ideal job roles post-completion include bioinformatics analyst, computational biologist, research scientist, and healthcare data specialist. Whether you're advancing your bioinformatics career or enhancing research capabilities, this course offers essential knowledge and skills to succeed in today's data-driven world. Enrol now to transform your passion for biological data into a rewarding career.

📚Books(3)

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Bioinformatics Data Skills

Bioinformatics Data Skills - A book resource

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Bioinformatics Algorithms: An Active Learning Approach

Bioinformatics Algorithms: An Active Learning Approach - A book resource

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Python for Bioinformatics

Python for Bioinformatics - A book resource

🌐Websites(6)

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Galaxy Project

Free web-based platform for genomic analysis

Biostars

Q&A forum for bioinformatics practitioners

Rosalind

Free interactive programming problems for bioinformatics

bioinformatics.org

Bioinformatics.org is a community-driven portal for learning and practicing bioinformatics, offering tutorials, articles, discussion forums, and a curated directory of tools and resources. It provides educational content, software/project pages, datasets, and links to events and opportunities in the field.

ensembl.org

Ensembl is a comprehensive genome browser and annotation resource offering high-quality genome assemblies, gene models, transcripts, regulatory features, and genetic variation across many species. It also provides comparative genomics tools, data downloads, and access via BioMart and APIs for querying and mining genomic data.

ncbi.nlm.nih.gov

NCBI is a comprehensive biomedical database hub from the NIH that hosts major resources like PubMed, GenBank, Gene, Protein, and Genome. It also provides powerful search and analysis tools (Entrez, BLAST) and tutorials for learning bioinformatics.