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Learn Bioinformatics, earn certificates with free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Learn protein structure prediction through homology modeling, focusing on COVID-19 NP protein as a practical example. Covers MODELLER, PIR format, and HHpred tools.
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.
Learn bioinformatics through hands-on problem-solving, covering DNA analysis, Python basics, transcription, data processing, and biological modeling.
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.
Learn to program bioinformatics tools in Python with Qt in less than an hour. rebelScience.
Comprehensive guide to RNAseq analysis, covering DEGs, enrichment analysis, data manipulation, and WGCNA, with practical R tutorials for bioinformatics beginners.
Comprehensive bioinformatics tutorials covering RNA-seq analysis, data visualization, statistical methods, and cancer genomics using R and other tools.
Comprehensive introduction to bioinformatics, covering biological information, microbiome science, Python programming, sequence alignment, Linux, and machine learning for aspiring bioinformaticians.
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.
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.
Learn essential Linux, regular expressions, and Python 3 skills for bioinformatics, covering command-line operations, text manipulation, and programming fundamentals.
Learn to perform molecular dynamics simulations using Desmond, from installation to preprocessing and running simulations on Linux systems.
Learn techniques for comparing biological sequences, including dot plots and global alignment methods, to analyze similarities and differences in DNA or protein data.
Learn advanced protein structure prediction techniques, focusing on COVID-19 protease modeling, loop refinement, and homology modeling using MODELLER software.
Learn Python-based bioinformatics techniques for DNA analysis, sequence alignment, and protein visualization. Explore NCBI databases, BLAST searches, and COVID-19 genome analysis using Biopython.
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