NGS INTERNSHIP ( 3 MONTHS )
The 3-month NGS Internship provides in-depth training in genomic bioinformatics, Linux, Python, R, Biopython, Bioconductor, and NGS-DNA sequencing analysis, along with a hands-on project to apply your skills. Participants also get HR preparation and a certification upon successful completion.
Course Description
Foundational Bioinformatics: Cover genomic bioinformatics, Linux operations, and cloud technology as essential foundational concepts.
Python Mastery: Master Python basics and delve into advanced topics crucial for bioinformatics applications.
Biopython and NGS Analysis: Explore Biopython for sequence manipulation and leverage it for NGS data analysis.
R Programming Fundamentals: Learn essential R programming skills and its application in bioinformatics tasks.
Introduction to Bioconductor: Familiarize yourself with Bioconductor for sequence analysis and effective data visualization.
NGS-DNA Seq Analysis: Delve into DNA Seq data analysis techniques including data retrieval, read mapping, and variant detection.
HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.
What You'll Learn
Gain foundational knowledge in bioinformatics and DNA Seq data analysis.
Master Python programming for bioinformatics applications.
Utilize Biopython for efficient biological sequence manipulation.
Acquire R programming skills for statistical analysis in bioinformatics.
Understand the role of Bioconductor in genomic data analysis.
Apply acquired skills in a one-month NGS project on DNA sequencing, gaining real-world experience and enhancing practical proficiency.
Curriculum
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T1 = Overview and Installation of Linux
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T2 = Basic Linux Commands
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T3 = Advanced Linux Commands
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T4 = Package Management using Repository
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T5 = Package Management using Source Code
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T1 = Introduction to Python
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T2= Data Types
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T3= String Handling
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T4= Data Structure
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T5=Control Structure
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T6 = Function
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T7= File Handling
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T8= Data Manipulation
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T9= Data Visualization
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T10= Biopython
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T1 = Introduction and Installation of R
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T2= Data Types in R
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T3= Data Structure
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T4= File Handling
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T5=Control Structure
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T6 = Function
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T7= Package Management
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T8= Data Manipulation
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T9= Data Visualization
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T10= Statistical Analysis
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Day 1
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Day 2
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Day 3
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Day 4
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Day 5
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T1= Introduction to NGS and DNAseq
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T2= Basic Terminologies in NGS
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T3= Understanding of SRA database
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T4= Tools installation in Linux for Variation Calling
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T5= Quality control
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T6= Trimming of Reads
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T7= Indexing of Genome and Alignment of Reads
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T8= Variation calling using GATK
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T9= Variant Effect Prediction(VEP)
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T10= Variation Visualization (IGV)
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Project on NGS- DNA Seq Data Analysis
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