RNA SEQ Data Analysis

This course provides a comprehensive understanding of RNA SEQ DATA ANALYSIS and equips students with the necessary skills to  analyze RNA SEQ experiments. It combines theoretical knowledge with practical applications, preparing students to contribute to the rapidly evolving field of genomics and Data analysis

Registration

Educator

Ujjawal Singh Solanki

Difficulty

Intermediate

Mode

Live

language

Language

English

Payment
Paypal

About Course

This course provides a comprehensive understanding of RNA SEQ DATA ANALYSIS and equips students with the necessary skills to  analyze RNA SEQ experiments. It combines theoretical knowledge with practical applications, preparing students to contribute to the rapidly evolving field of genomics and Data analysis

RNA SEQ Data Analysis

Date 06 Jan 2025

Introduction to Sequencing Technologies

  • Emulsion PCR/ Bridge PCR
  • Maxel-Geibert sequencing
  • Sanger Sequencing
  • SOLID Sequencing
  • SMRT
  • Nanopore Sequencing
  • Ion torrent sequencing
  • Whole Genome Shortgun Sequencing
  • Pyrosequncing, etc

Date 07 Jan 2025

Linux

  • Introduction to Linux
  • Installation of Linux
  • Package manager in Linux
  • Basics and advance command line in Linux
  • File Handling and File manupulation in Shell
  • Statics and experimental Design of RNA seq

Date 08 Jan 2025

R-Programming and R studio

  • Installation of R and R studio
  • data types and R studio functionality
  • Data type/ Data structure
  • Vectors and functions
  • different types functions
  • Fetching

Date 09/10/13 Jan 2025

R Programming

  • Sequence Function 
  • Print Function
  • Manupulation of Vectors
  • replacing of vectors
  • R programming libraries
  • Bioconductor Packages etc.

Date 14 Jan 2025

Bioinformatics Databases and Tools

  • Different types of Biological Databases.
  • NCBI, Ensembl, PDB, plant TF, chembl, Pubchem
  • Primer designing 
  • Restriction mapping

Date 15 Jan 2025

NGS workflow

  • workflow of NGS RNA seq
  • Files and file formats
  • Single end paired end Data analysis
  • experimental design of RNA seq
  • Data Downloading using various approches.

Date 16 Jan 2025

Quality control of RNA seq Data

  • FASTQ file format understanding
  • Quality check of Data
  • FastQC, MultiQC
  • Trimming of Data using various trimming tools

Date 17 January 2025

Alignment to reference Genomes

  • Reference genome alignment.
  •  Indexing of genome
  • Different alignment tools
  • HISAT2/Kallisto/STAR
  • BAM SAM File formats
  • sorting and Indexing

Date 20 January 2025

Genome Annotation

  • Genome annotation
  • Integrative Genomics Viwer (IGV)
  • Chromosome position and gene analysis
  • HTseq Count and FPKM and TPM counts

Date 21 January 2025

Differential expressed Genes

  • PCA plot
  • BCA plot
  • QRM plot
  • Volcano plot
  • Upregulated and regulated genes analysis

Date 22 January 2025

Gene Cluster analysis

  • Heatmaps and clustering
  • Heatmap visualization and interpretation.
  • Phetmap and complex heatmap generations

Date 23 January 2025

Gene Ontology analysis

  • Gene Ontology analysis using R programming
  • Interpretation of Gene ontology
  • Various graph Generation of GO

Date 24 January 2025

Visualization of GO

  • Gene ontology analysis using DAVID
  • Bar plot and dotplot generation of Gene ontology data
  • ggplot, venn digram, etc

Date 27 January 2025

KEGG and Docking

  • Enrichment analysis methods (KEGG)
  • Molecular Docking using Autodock vina

Date 28 January 2025

Multiligend Docking

  • Multi-ligend docking
  • pymol and docking analysis

Date 29 January 2025

Project work assigned and doubt session

Date 3 Febrary 2025

Project presentation

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Educator - Ujjawal Singh Solanki

Ujjawal Solanki is Computational Biologist and Bioinformatics Expert in Next Generation Sequencing(NGS) Data analysis and Big Data management with expertise in Python and R Programming. along with solanki honds Masters Degree in Biotechnology and managed various research projects. solanki also expert in Artificial Intelligence and Machine Learning Expert. He also works on computational aided drug designing(CADD).

RNA SEQ DATA ANALYSIS COURSE

Mode - Online

Certificate Provided

Hours 30-35 Hours

Time 8:00 to 9:00 PM IST

Last Date available Soon

6 January 2025

Recorded lecture Provided after session

Certificate

FAQ

Session Joining link will be send to your register email on the day of session start you can join session by clicking joining link.

Yes! All of our Live sessions are recorded and you can access recorded session after live classes, recorded session link will be send to your respective email after live classes. recorded session will be available for 30 days after live classes

All Session are evening sessions time of session is between 7:00 to 8:00 PM IST.

Please read refund policy in refund policy section page.

No, any short Prerequisites knowledge you required to join the course.

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