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RIBONUCLEOMICS CORE COURSE ( 8 WEEKS )

Instructor Name

Dr.Omics
Category

Core Courses

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Course Requirements

  • Motivation to Learn: A strong desire to engage with and understand the material.
  • Basic Knowledge: Familiarity with biology and molecular biology concepts.
  • Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
  • Software: Free software will be utilized, so no additional software purchases are necessary.
  • Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

  • RiboNucleomics Exploration: Immerse yourself in RiboNucleomics, focusing on RNA molecules' pivotal roles in cellular processes.
  • RNA Structure and Function: Explore the structure, function, and interactions of RNA molecules, unraveling their complexities.
  • Gene Expression Regulation: Investigate the intricate mechanisms behind gene expression regulation mediated by RNA.
  • RNA-Based Therapies: Understand the potential of RNA in therapeutic applications, including RNA-based therapies.
  • Biology of RNA: Delve into the biological intricacies of RNA, including its structure-function relationships and regulatory mechanisms.
  • Practical RNA Data Analysis: Gain practical insights into RNA data analysis techniques and their implications in biotechnology and therapeutics.

Course Outcomes

  • Gain deep insights into the roles of RNA molecules in cellular processes through RiboNucleomics.
  • Understand the structure, function, and interactions of RNA molecules.
  • Explore the intricate mechanisms involved in regulating gene expression through RNA.
  • Acquire knowledge of RNA-based therapies and their potential applications.
  • Master the biological intricacies of RNA, including structure-function relationships and regulatory mechanisms.
  • Develop practical skills in RNA data analysis techniques with implications in biotechnology and therapeutics.

Rules & Regulations

  •  Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
  •  Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
  • Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
  • Assignments: Complete assignments sincerely and submit them on time.
  • Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
  • Certification: A certificate will be awarded upon course completion.

Course Curriculum DOWNLOAD BROCHURE

1 Introduction to RNAseq and it’s basic terminologies
1 Hour

2 Tools installation in Linux for Gene Expression analysis
1 Hour

3 Quality control and Trimming of reads
1 Hour

4 Indexing of Genome and Alignment of Reads
1 Hour

5 Normalization of Data (Cufflinks)
1 Hour

6 Merging of Data and Differential expression of genes
1 Hour

7 Understanding of DEG results
1 Hour

8 Annotation of DEG
1 Hour

9 Functional and Pathway Enrichment Analysis
1 Hour

10 Network Analysis
1 Hour

1 Tools installation for De-novo RNA seq
1 Hour

2 Tools installation for De-novo RNAseq
1 Hour

3 Data downloading and Quality control
1 Hour

4 Assembly Creation
1 Hour

5 Abundance count estimation
1 Hour

6 Generation of count matrix and DEG
1 Hour

7 BLAST
1 Hour

8 Understanding the DEG results
1 Hour

9 Annotation of DEGs
1 Hour

10 Enrichment Analysis
1 Hour

1 Introduction to Single cell RNA Sequencing
1 Hour

2 Data Retrieval (Cell-Ranger and SRA)
1 Hour

3 Data preprocessing and quality check
1 Hour

4 Processing of filtered data (normalization, scaling, dimension reduction)
1 Hour

5 Clustering
1 Hour

6 Identification of Differentially expressed features
1 Hour

7 Cluster annotation and Gene Annotation
1 Hour

8 Cluster annotation and Gene Annotation
1 Hour

9 Data visualization (Violon plot, Dot plot, Dim Plot)
1 Hour

1 Data Downloading (NCBI SRA/EBI SRA)
1 Hour

2 Quality control using Fastqc
1 Hour

3 Trimming (cutadapt/Fastp/Trimmomatic)
1 Hour

4 Mapping of Reads to Reference genome using mapper.pl
1 Hour

5 Generation of Known, novel and abundance miRNA reports using MirDeep2
1 Hour

6 Differential expression of genes using EdgeR/DESeq2
1 Hour

7 miRNA Target prediction using miRDB
1 Hour

8 Annotation of Target gene Using DAVID/Uniprot
1 Hour

9 Functional and Pathway Enrichment Analysis using Panther/ShinyGO
1 Hour

10 miRNA-mRNA network using Cytoscape
1 Hour

Instructor

Dr.Omics

0 Rating
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221 Students
44 Courses

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This course includes:

  • Live classes

  • For full fee and payment plan details, please contact us at 9310870544

  • Duration 2 Months

  • Skill Level Advanced

  • Lectures 39 lessons

  • 365 Days Access

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