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Learn Python programming for bioinformatics, covering DNA sequence manipulation, data types, and analysis techniques. Ideal for beginners in biology and computational biology.
Learn to convert Ensembl IDs to gene symbols and create heatmaps using R packages like biomaRt and pheatmap, essential skills for bioinformatics data analysis and visualization.
Comprehensive guide to RNA-Seq analysis, covering data processing, visualization techniques like volcano plots and heatmaps, and practical applications using R and Galaxy.
Learn essential bcftools techniques for VCF file manipulation, including reading, indexing, extracting data, renaming chromosomes, counting variants, and splitting files.
Learn essential VCF file manipulation techniques using bcftools, including reading, indexing, counting variants, extracting data, renaming chromosomes, and splitting files for effective bioinformatics analysis.
Learn Python for sequence analysis and bioinformatics, covering file handling, GC content calculation, GenBank parsing, data visualization, and NCBI interactions for biological data processing.
Learn essential bioinformatics skills: merging VCFs, reading FASTA files, indexing and analyzing VCFs, and counting variants using bcftools and Linux commands for efficient data handling.
Comprehensive tutorial on bacterial genome analysis, covering annotation, visualization, pangenome analysis, resistance gene identification, phylogenetic tree construction, and comparative genomics techniques.
Explore gene-based phylogenetic tree construction using RAxML and visualization with iTOL. Learn MUSCLE and PhyML for comprehensive evolutionary analysis techniques.
Comprehensive guide for installing various bioinformatics tools using source code, binaries, and Anaconda. Covers essential software like Artemis, RAxML, MUSCLE, and more for Windows and Linux systems.
Enhance bioinformatics skills with Python: analyze DNA sequences, handle FASTA and GenBank files, calculate GC content, plot Venn diagrams, and interact with NCBI databases.
Learn Python programming for biological data analysis, covering DNA manipulation, sequence analysis, and file parsing techniques for bioinformatics applications.
Explore bacterial genome analysis techniques, from phylogenetic tree creation to antimicrobial resistance gene identification, with hands-on tutorials suitable for beginners in bioinformatics.
Comprehensive tutorial on bacterial genome analysis, covering assembly, comparative genomics, antimicrobial resistance gene identification, phylogenetic tree construction, and variant calling using bioinformatics tools.
Explore bacterial genome annotation techniques, from assembly to visualization, with hands-on tutorials covering tools like Prokka, PGAP, ISfinder, CGView, and Artemis for comprehensive bioinformatics analysis.
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