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Bioinformatics Data Analysis using Linux, Python & R
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Bioinformatics Data Analysis using Linux, Python & R

BioInformatix35 Videos

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51:30
WATCH TIME
5
LEC / DAY
8
DAYS LEFT

Target Audience

Designed for students and aspirants preparing for Coding exams who need organized study routines without getting lost in YouTube rabbit holes.

Prerequisites

No prior paid software or specialized tools required. Start directly with lesson #1 and build conceptual depth at your own pace.

Learning Outcomes

Master all 35 lessons step-by-step, generate personal revision notes, and retain difficult topics through active recall and structured scheduling.

Course Syllabus

Complete Lecture Curriculum (35 Lectures)

Full index of topics and video runtimes included in this course.

Total: 6h 51m
  1. 01

    Introduction to Linux for Bioinformatics | Bioinformatics Data Analysis Ep. 1

    18:41
    Lesson
  2. 02

    Bash Basic Commands for Bioinformatics | Bioinformatics Data Analysis Ep. 2

    15:47
    Lesson
  3. 03

    Bioinformatics Tools Installation in Linux | Bioinformatics Data Analysis Ep. 3

    9:10
    Lesson
  4. 04

    How to Use Linux on Windows (WSL) for Bioinformatics | Bioinformatics Data Analysis Ep. 4

    5:07
    Lesson
  5. 05

    BLAST Search Using Linux | Bioinformatics Data Analysis Ep. 5

    12:16
    Lesson
  6. 06

    NCBI E-Utilities on Bash | Access NCBI from Command Line | Bioinformatics Ep. 6

    16:42
    Lesson
  7. 07

    Phylogenetic Analysis on Bash | Tree Building from Terminal | Bioinformatics Ep. 7

    14:25
    Lesson
  8. 08

    Sequence Alignment using Bash | Bioinformatics Ep. 8 | Align DNA & Protein from Terminal

    5:58
    Lesson
  9. 09

    Biopython Introduction | Bioinformatics with Python | Ep. 9

    9:59
    Lesson
  10. 10

    Top Python Libraries for Bioinformatics Data Analysis | Bioinformatics Ep. 10

    15:25
    Lesson
  11. 11

    Bioinformatics File Formats Explained | FASTA, FASTQ, GFF, VCF & More | Ep. 11

    19:24
    Lesson
  12. 12

    Setup Coding Environment for Biopython | Install Python, VS Code & Jupyter | Ep. 12

    14:03
    Lesson
  13. 13

    Retrieve Data from NCBI & UniProt using Biopython | Bioinformatics Ep. 13

    11:34
    Lesson
  14. 14

    🧬 Sequence Analysis with Biopython | DNA, RNA & Protein | Bioinformatics Ep. 14

    16:15
    Lesson
  15. 15

    Genomics Analysis with Python | Process GFF, BED, VCF & FASTA | Bioinformatics Ep. 15

    19:09
    Lesson
  16. 16

    Phylogenetics using Python | Build & Visualize Evolutionary Trees | Bioinformatics Ep. 16

    14:09
    Lesson
  17. 17

    Proteomics Analysis using Python | Functional Annotation & Protein Data | Bioinformatics Ep. 17

    19:56
    Lesson
  18. 18

    🤖 Machine Learning in Bioinformatics using Python | Classification, Clustering & More | Ep. 18

    11:46
    Lesson
  19. 19

    Introduction to R for Bioinformatics | Basics and Applications | Bioinformatics Ep. 19

    8:02
    Lesson
  20. 20

    Install R and RStudio for Bioinformatics | Step-by-Step Guide | Ep. 20

    10:16
    Lesson
  21. 21

    Installing Packages in RStudio | Bioinformatics Essentials | Ep. 21

    9:35
    Lesson
  22. 22

    🧬 Introduction to DESeq2 in R | RNA-Seq Differential Expression Analysis | Ep. 22

    5:28
    Lesson
  23. 23

    DESeq2 RNA-Seq Analysis Step-by-Step in R | Practical Tutorial | Ep. 23

    17:44
    Lesson
  24. 24

    Convert Gene IDs to Gene Symbols in R | Annotation Tutorial | Ep. 24

    11:31
    Lesson
  25. 25

    Data Visualization with ggplot2 in R | Bioinformatics Plots | Ep. 25

    10:15
    Lesson
  26. 26

    scRNA-Seq Analysis in R – Introduction & Theory | Single-Cell RNA-Seq Explained | Ep. 26

    7:16
    Lesson
  27. 27

    scRNA-Seq Analysis in R with Seurat | Full Hands-On Tutorial | Ep. 27

    21:28
    Lesson
  28. 28

    Introduction to Transcriptomics | RNA-Seq Expression Analysis using NGS | Ep. 28

    6:27
    Lesson
  29. 29

    RNA-Seq Data Analysis in R | Gene Expression Workflow Explained | Ep. 29

    4:55
    Lesson
  30. 30

    Download FASTQ Files from NCBI SRA | RNA-Seq Data Retrieval Step-by-Step | Ep. 30

    8:18
    Lesson
  31. 31

    FASTQ Quality Check using FastQC | RNA-Seq Data Preprocessing | Ep. 31

    7:38
    Lesson
  32. 32

    Trimming FASTQ Reads | RNA-Seq Preprocessing with Trimmomatic & fastp | Ep. 32

    4:33
    Lesson
  33. 33

    RNA-Seq Read Alignment using Bowtie2 | Align FASTQ to Genome | Ep. 33

    12:48
    Lesson
  34. 34

    Convert SAM to BAM | Understand Alignment File Formats (SAM, BAM) | Ep. 34

    7:15
    Lesson
  35. 35

    Extract RNA Expression Counts | featureCounts & HTSeq | RNA-Seq Pipeline Ep. 35

    8:43
    Lesson

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Is Bioinformatics Data Analysis using Linux, Python & R completely free to study?

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What happens if new lectures are added to this playlist?

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