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NGS RESEARCH ORIENTED COURSE ( 4 MONTH )

Instructor Name

Dr.Omics
Category

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 key databases and tools like GenBank, PubMed, BLAST, and Mega, bridging biotechnology with bioinformatics.
  • Next Generation Sequencing (NGS): Understand the role of bioinformatics in NGS, covering techniques, applications, and platforms, along with Linux basics.
  • Python Programming: Master Python essentials for bioinformatics, including data types, control statements, and file handling, followed by an introduction to Biopython.
  • R Programming and Bioconductor: Learn R programming fundamentals and its significance in bioinformatics, with a focus on Bioconductor for sequence analysis and visualization.
  • RNA Sequencing (RNA Seq): Gain proficiency in RNA Seq data analysis techniques, from data retrieval and quality check to mapping reads and pathway analysis.
  • DNA Sequencing (DNA Seq): Acquire skills in DNA Seq data analysis, covering variant calling, annotation, and visualization, alongside RNA Seq analysis.
  • One-Month NGS Research Project: Apply acquired skills in a practical setting, conducting research in next-generation sequencing, variant detection, and pathway analysis.
  • HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.

Course Outcomes

  • Comprehensive Understanding: Master bioinformatics fundamentals, databases, and tools for biotechnology applications.
  • Proficiency in NGS: Excel in NGS techniques, platforms, and data analysis, complemented by Linux skills.
  • Programming Mastery: Achieve expertise in Python and R programming tailored for bioinformatics.
  • Bioconductor Expertise: Harness Bioconductor for sequence analysis, visualization, and statistical studies.
  • RNA and DNA Seq Analysis: Develop practical skills in RNA Seq and DNA Seq data analysis, including variant calling.
  • Real-world Application: Apply skills in a one-month NGS research project, gaining hands-on experience in variant detection and pathway analysis.

    • 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.

    Course Curriculum DOWNLOAD BROCHURE

    1 Protein Databases (PDB)
    1 Hour

    2 Online BLAST Introduction and Exercises
    1 Hour

    3 Standalone BLAST Setup and Exercises
    1 Hour

    4 Standalone BLAST Advanced Exercises
    1 Hour

    5 Multiple Sequence Alignment with ClustalW
    1 Hour

    6 Multiple Sequence Alignment with MEGA
    1 Hour

    7 Introduction to Bioinformatics
    1 Hour

    8 NCBI Database Overview
    1 Hour

    9 Genbank Database Practical Exercises
    1 Hour

    10 UCSC Genome Browser Overview
    1 Hour

    11 UCSC Genome Browser Hands-on Exercises
    1 Hour

    12 Pubmed Database Introduction
    1 Hour

    13 Clinvar Database Overview
    1 Hour

    14 KEGG Database Overview and Exercises
    1 Hour

    15 Protein Databases (UniProt)
    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

    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 4 Months

    • Skill Level Advanced

    • Lectures 60 lessons

    • Full lifetime access

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