Dr. Omics Education;

Instructor Name

Dr.Omics

Research Oriented 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

Foundations of Bioinformatics: Explore genomic bioinformatics, databases, and tools like GenBank and PubMed, bridging biotechnology with bioinformatics.

Next Generation Sequencing (NGS): Understand bioinformatics' role in NGS, covering techniques, applications, and Linux basics, including cloud technology.

Python and Biopython: Master Python essentials tailored for bioinformatics, with a focus on data manipulation and Biopython for biological sequence analysis.

R Programming and Bioconductor: Learn R programming and Bioconductor for statistical analysis and visualization in bioinformatics, enhancing research proficiency.

RNA and DNA Sequencing Analysis: Acquire practical skills in RNA and DNA Seq data analysis, including variant detection, annotation, and pathway analysis.

Microarray and Metagenome Analysis: Gain expertise in microarray technology, metagenome analysis, and pathway network analysis using advanced tools.

HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.
Research Project and Paper Publication: Apply acquired skills in a two-month NGS research project, leading to paper publication, and enhancing practical proficiency.

Course Outcomes

Gain a comprehensive understanding of bioinformatics fundamentals and their applications in biotechnology research.
Master NGS techniques and platforms, coupled with programming skills in Python and R for efficient data analysis.
Acquire expertise in utilizing Bioconductor for sequence analysis and visualization, enhancing research proficiency.
Develop practical skills in RNA and DNA Seq data analysis, including variant detection and pathway analysis.
Enhance proficiency in microarray and metagenome analysis, leading to advanced research capabilities.
Apply acquired skills in a two-month NGS research project, leading to paper publication, and prepare for advanced studies and careers in life sciences.
Develop a strong understanding of Bioinformatics & NGS basics, Linux, Cloud Computing, Python, and R for NGS applications.

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 and Project: Complete assignments and projects 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.
Paper Publication: eligibility requires a minimum 75% combined attendance and performance score.

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Course Curriculum DOWNLOAD BROCHURE

1 Introduction to Bioinformatics

1 Hour

2 NCBI Database Overview

1 Hour

3 Genbank Database Practical Exercises

1 Hour

4 UCSC Genome Browser Overview

1 Hour

5 UCSC Genome Browser Hands-on Exercises

1 Hour

6 Pubmed Database Introduction

1 Hour

7 Clinvar Database Overview

1 Hour

8 KEGG Database Overview and Exercises

1 Hour

9 Protein Databases (UniProt)

1 Hour

10 Protein Databases (PDB)

1 Hour

11 Online BLAST Introduction and Exercises

1 Hour

12 Standalone BLAST Setup and Exercises

1 Hour

13 Standalone BLAST Advanced Exercises

1 Hour

14 Multiple Sequence Alignment with ClustalW

1 Hour

15 Multiple Sequence Alignment with MEGA

1 Hour

1 Overview and Installation of Linux

1 Hour

2 Basic Linux Commands

1 Hour

3 Advanced Linux Commands

1 Hour

4 Package Management using Repository

1 Hour

5 Package Management using Source Code

1 Hour

1 Introduction to Python

1 Hour

2 Data Types

1 Hour

3 String Handling

1 Hour

4 Data Structure

1 Hour

5 Control Structure

1 Hour

6 Function

1 Hour

7 File Handling

1 Hour

8 Data Manipulation

1 Hour

9 Data Visualization

1 Hour

10 Biopython

1 Hour

1 Introduction and Installation of R

1 Hour

2 Data Types in R

1 Hour

3 Data Structure

1 Hour

4 File Handling

1 Hour

5 Control Structure

1 Hour

6 Function

1 Hour

7 Package Management

1 Hour

8 Data Manipulation

1 Hour

9 Data Visualization

1 Hour

10 Statistical Analysis

1 Hour

1 Introduction to NGS and DNAseq

1 Hour

2 Basic Terminologies in NGS

1 Hour

3 Understanding of SRA database

1 Hour

4 Tools installation in Linux for Variation Calling

1 Hour

5 Quality control

1 Hour

6 Trimming of Reads

1 Hour

7 Indexing of Genome and Alignment of Reads

1 Hour

8 Variation calling using GATK

1 Hour

9 Variant Effect Prediction(VEP)

1 Hour

10 Variation Visualization (IGV)

1 Hour

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 RNAseq

1 Hour

2 Tools installation for De-novo RNAs eq

1 Hour

3 Data downlading 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 Encrichment Analysis

1 Hour

1 Introduction to metagenomics

1 Hour

2 Tools installation for metagenomics

1 Hour

3 Data Downloading

1 Hour

4 Quality control & Trimming

1 Hour

5 Data importing in Qimme2

1 Hour

6 Data quality check using DADA2

1 Hour

7 Phylogentic Analysis

1 Hour

8 Taxonomy Analysis

1 Hour

9 Krona Plot

1 Hour

10 Phylogenetic tree construction

1 Hour

1 Introduction to MIcroarray

1 Hour

2 Introduction to MIcroarray

1 Hour

3 Data Downloding

1 Hour

4 Microarray Pipeline upto Normalization

1 Hour

5 Microarray Pipeline till DEG

1 Hour

6 Annotation of DEG

1 Hour

7 Encrichment Analysis

1 Hour

8 Network Analysis

1 Hour

9 Volcano Plot

1 Hour

10 Heatmap

1 Hour

Instructor

Dr.Omics

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213 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 6 Months
Skill Level Advanced
Lectures 90 lessons
Full lifetime access

Sub Category

NGS RESEARCH ORIENTED COURSE ( 6 MONTH )

Dr.Omics

Research Oriented Courses

Course Requirements

Course Description

Course Outcomes

Rules & Regulations

Course Curriculum DOWNLOAD BROCHURE

Instructor

Dr.Omics

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NGS RESEARCH ORIENTED COURSE ( 6 MONTH )

Dr.Omics

Research Oriented Courses

Course Requirements

Course Description

Course Outcomes

Rules & Regulations

Course Curriculum DOWNLOAD BROCHURE

Module 1 = Beginners to Advanced Bioinformatics 15 Lectures

Module 2 = LINUX 5 Lectures

Module 3 = Python Programming 10 Lectures

Module 4 = R-Programing 10 Lectures

Module 5 = HR 0 Lectures

Module 6 = DNA seq Data Analysis 10 Lectures

Module 7 = Reference Based RNA seq Data Analysis 10 Lectures

Module 8 = Denovo Based RNA seq Data Analysis 10 Lectures

Module 9 = Targeted metagenomics 10 Lectures

Module 10 = Microarray Data Analysis 10 Lectures

Module 11 = Research Project 0 Lectures

Instructor

Dr.Omics

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Protein Picassos: Mastering PyMOL Visualization

NGS INTERNSHIP ( 2 MONTHS )

Student Feedback

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Reviews

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BEGINNERS TO ADVANCE BIOINFORMATICS COURSE (ROC)

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