Gene Expression Analysis
Learn essential techniques for analyzing gene expression data, including RNA-Seq pipelines, volcano plots, heatmaps, and RNAseq data analysis using R and Python.
RNA-Seq Analysis
Learn step-by-step RNA-Seq data analysis, including creating Volcano Plots in R. Ideal for bioinformatics beginners, this tutorial reproduces Galaxy workflows and provides hands-on experience.
BCFtools Tutorials
Learn essential bcftools techniques for VCF file manipulation, including reading, indexing, extracting data, renaming chromosomes, counting variants, and splitting files.
VCF File Manipulation
Learn essential VCF file manipulation techniques using bcftools, including reading, indexing, counting variants, extracting data, renaming chromosomes, and splitting files for effective bioinformatics analysis.
Python for Sequence Analysis & Bioinformatics
Learn Python for sequence analysis and bioinformatics, covering file handling, GC content calculation, GenBank parsing, data visualization, and NCBI interactions for biological data processing.
Handling Bioinformatics Data
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.
Post-Genome Assembly
Comprehensive tutorial on bacterial genome analysis, covering annotation, visualization, pangenome analysis, resistance gene identification, phylogenetic tree construction, and comparative genomics techniques.
Phylogenetic Trees
Explore gene-based phylogenetic tree construction using RAxML and visualization with iTOL. Learn MUSCLE and PhyML for comprehensive evolutionary analysis techniques.
Bioinformatics Tools Installation
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.
Python for Bioinformatics - Intermediate
Enhance bioinformatics skills with Python: analyze DNA sequences, handle FASTA and GenBank files, calculate GC content, plot Venn diagrams, and interact with NCBI databases.
Python for Biologists
Learn Python programming for biological data analysis, covering DNA manipulation, sequence analysis, and file parsing techniques for bioinformatics applications.
Genome Comparative Analysis
Explore bacterial genome analysis techniques, from phylogenetic tree creation to antimicrobial resistance gene identification, with hands-on tutorials suitable for beginners in bioinformatics.
Genome Annotation
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.
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.
ANOVA
Comprehensive introduction to Analysis of Variance (ANOVA), covering key concepts, types, and applications in statistical analysis. Includes practical examples and comparisons with other statistical tests.
Multivariate Time Series Forecasting in R - Data Analytics with R - Data Science
Learn multivariate time series forecasting in R, covering fundamentals, modeling techniques, feature engineering, and practical implementation through a hands-on demo.
Time Series in Stock Market - Time Series Forecasting - Data Science for Beginners
Comprehensive tutorial on time series analysis for stock market forecasting, covering indices, exponential smoothing, and ARIMA models with practical applications and comparisons.
Logistic Regression on Customer Data - Machine Learning Algorithms Using Python
In this video, the we will walk you through a case study on Customer data of a financial institution. The objective of the case study is to reduce expenses by targeting only those customers who are likely to subscribe using predictive modeling.
Unsupervised Learning - Clustering and Association Algorithms in Machine Learning
In this tutorial, we will help you to cover every concept related to Unsupervised Learning.
Big Data Analytics - Big Data Hadoop Tutorial
In this tutorial, we have covered all the important topics such as, What is Big Data and Hadoop, What is Hive, What are their features and much more that will help you to get a hold over this concept.