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Instructor Name

Super admin

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APSCHE Long Term Internship

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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).
  • Hardware: A mobile with an active Internet connection

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 visualisation 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
          • HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.

          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.
          • 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.

          Course Curriculum

          1 Day 1 ; Overview of Bioinformatics, Scope, opportunities for Beginners
          59 Min


          2 Day 2 : Genbank database Introduction
          59 Min


          3 Day 3 : Genbank database Exercise questions
          58 Min


          4 Day 4: UCSC genome browser introduction
          59 Min


          5 Day 5 : UCSC genome browser Exercise questions
          59 Min


          6 Day 6: Pubmed Database
          1 Hour


          7 Day 7: Clinvar Database
          1 Hour


          8 Day 8: KEGG database introduction & Exercise Questions
          59 Min


          9 Day 9 : Protein databases – A)Uniprot database introduction & Exercise questions
          1 Hour


          10 Day 10: B) PDB(Protein Databank) introduction & Exercise questions
          59 Min


          11 Day 11: Alignment tools- A)BLAST(online) introduction and Exercise
          1 Hour


          12 Day 12: BLAST(standalone) Introduction and Exercise questions 1
          59 Min


          13 Day 13 : BLAST(standalone) Exercise questions 2
          1 Hour


          14 Day 14: Multiple sequence Alignment(Understanding of ClustalW)
          1 Hour


          15 Day 15: Multiple sequence Alignment(Understanding of MEGA)
          59 Min


          1 Day 1 : Overview and Installation of Linux
          59 Min


          2 Day 2 : Basic Linux Commands
          59 Min


          3 Day 3 : Advanced Linux Commands
          1 Hour


          4 Day 4: Package Management using Repository
          59 Min


          5 Day 5 : Package Management using Source Code
          59 Min


          1 Day 1: Introduction to Python
          59 Min


          2 Day 2: Data Types
          59 Min


          3 Day 3: String Handling
          1 Hour


          4 Day 4: Data Structure
          59 Min


          5 Day 5: Control Structure
          1 Hour


          6 Day 6: Function
          59 Min


          7 Day 7: File Handling
          59 Min


          8 Day 8: Data Manipulation
          1 Hour


          9 Day 8: Data Visualization
          59 Min


          10 Day 10:
          59 Min


          1 Day 1: Introduction and Installation of R
          59 Min


          2 Day 2: Data Types in R
          59 Min


          3 Day 3: Data Structure
          59 Min


          4 Day 4: File Handling
          59 Min


          5 Day 5: Control Structure
          59 Min


          6 Day 5: Function
          1 Hour


          7 Day 7: Package Management
          59 Min


          8 Day 8: Data Manipulation
          59 Min


          9 Day 9: Data Visualization
          59 Min


          10 Day 10: Statistical Analysis
          1 Hour


          1 M6T1= Introduction to NGS and DNAseq
          1 Hour


          2 M6T2= Basic Terminologies in NGS
          59 Min


          3 M6T3= Understanding of SRA database
          59 Min


          4 M6T4= Tools installation in Linux for Variation Calling
          59 Min


          5 M6T5= Quality control
          59 Min


          6 M6T6= Trimming of Reads
          59 Min


          7 M6T7= Indexing of Genome and Alignment of Reads
          59 Min


          8 M6T8= Variation calling using GATK
          1 Hour


          9 M6T9= Variant Effect Prediction(VEP)
          1 Hour


          10 M6T10= Variation Visualization (IGV)
          59 Min


          1 M7T1=Introduction to RNAseq and it’s basic terminologies
          1 Hour


          2 M7T2=Tools installation in Linux for Gene Expression analysis
          59 Min


          3 M7T3=Quality control and Trimming of reads
          59 Min


          4 M7T4=Indexing of Genome and Alignment of Reads
          59 Min


          5 M7T5=Normalization of Data (Cufflinks)
          59 Min


          6 M7T6=Merging of Data and Differential expression of genes
          59 Min


          7 M7T7=Understanding of DEG results
          59 Min


          8 M7T8=Annotation of DEG
          59 Min


          9 M7T9=Functional and Pathway Enrichment Analysis
          59 Min


          10 M7T10=Network Analysis
          59 Min


          1 Day 1
          59 Min


          2 Day 2
          1 Hour


          3 Day 3
          59 Min


          4 Day 4
          1 Hour


          5 Day 5
          59 Min


          Instructor

          Administrator

          Super admin

          Administrator

          Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.

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          30 Students
          27 Courses

          Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

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