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NGS INTERNSHIP (6 MONTHS) / N715724

Instructor Name

Dr.Omics(TM)
Category

Internships

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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.



              Course Curriculum

              1 day1
              1 Hour

              2 day2
              1 Hour

              3 day3
              1 Hour

              4 Day4
              59 Min

              5 Day 6
              1 Hour

              1 Introduction and Overview of Bioinformatics
              1 Hour

              2 Introduction to NCBI
              1 Hour

              3 Introduction to Genbank database
              Preview 1 Hour

              4 UCSC Genome Browser Overview
              1 Hour

              5 UCSC Genome Browser Hands-on Exercises
              1 Hour

              6 Pubmed Database Introduction (N715724
              1 Hour

              7 Clinvar Database Overview (N715724)
              59 Min

              8 KEGG Database Overview and Exercises (N715724)
              59 Min

              9 Protein Databases (UniProt)(N715724)
              1 Hour

              10 Protein Databases (PDB) (N715724)
              1 Hour

              11 Online BLAST Introduction and Exercises(N715724)
              59 Min

              12 Standalone BLAST Setup and Exercises(N715724)
              1 Hour

              13 Standalone BLAST Advanced Exercises(N715724)
              59 Min

              14 Multiple Sequence Alignment with ClustalW(N715724)
              1 Hour

              15 Multiple Sequence Alignment with MEGA (N715724)
              1 Hour

              1 M2T1 = Overview and Installation of Linux
              1 Hour

              2 M2T2 = Basic Linux Commands
              1 Hour

              3 M2T3 = Advanced Linux Commands
              1 Hour

              4 M2T4 = Package Management using Repository
              1 Hour

              5 M2T5 = Package Management using Source Code
              1 Hour

              1 M3T1 Introduction to Python
              1 Hour

              2 M3T2 Variables and Data Types (N715724)
              1 Hour

              3 M3T3 String Handling(N715724)
              1 Hour

              4 M3T4 Data Structure(N715724)
              1 Hour

              5 M3T5 Control Statement (N715724)
              1 Hour

              6 M3T6 Function(N715724)
              1 Hour

              7 M3T7 File Handling(N715724)
              1 Hour

              8 M3T8 Data Manipulation by Pandas and NumPy(N715724)
              1 Hour

              9 M3T9 Visualization by Matplotlib(N715724)
              1 Hour

              10 M3T10 Biopython
              1 Hour

              1 M4T1 = Introduction and Installation of R
              1 Hour

              2 M4T2= Data Types in R
              1 Hour

              3 M4T3= Data Structure
              1 Hour

              4 M4T4= File Handling
              1 Hour

              5 M4T5=Control Structure
              1 Hour

              6 M4T6 = Function
              1 Hour

              7 M4T7= Package Management
              1 Hour

              8 M4T8= Data Manipulation
              1 Hour

              9 M4T9= Data Visualization
              1 Hour

              10 M4T10= Statistical Analysis
              1 Hour

              1 Day 1
              59 Min

              2 Day 2
              1 Hour

              3 Day 3
              59 Min

              4 Day 4
              59 Min

              5 Day 5
              59 Min

              1 M6T1= Introduction to NGS and DNAseq
              1 Hour

              2 M6T2= Basic Terminologies in NGS
              59 Min

              3 M6T3= Understanding of SRA database
              1 Hour

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

              5 M6T5= Quality control
              1 Hour

              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)
              1 Hour

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

              2 M7T2=Tools installation in Linux for Gene Expression analysis
              1 Hour

              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)
              1 Hour

              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
              1 Hour

              10 M7T10=Network Analysis
              59 Min

              1 M8T1= Tools installation for De-novo RNAseq
              1 Hour

              2 M8T2= Tools installation for De-novo RNAseq
              1 Hour

              3 M8T3= Data downlading and Quality control
              1 Hour

              4 M8T4= Assembly Creation
              1 Hour

              5 M8T5= Abundance count estimation
              1 Hour

              6 M8T6= Generation of count matrix and DEG
              59 Min

              7 M8T7= BLAST
              1 Hour

              8 M8T8= Understanding the DEG results
              59 Min

              9 M8T9= Annotation of DEGs
              59 Min

              10 M8T10= Encrichment Analysis
              59 Min

              1 M9T1= Introduction to metagenomics "
              59 Min

              2 M9T2= Tools installation for metagenomics
              59 Min

              3 M9T3= Data Downloading
              59 Min

              4 M9T4= Quality control & Trimming
              59 Min

              5 M9T5= Data importing in Qimme2
              59 Min

              6 M9T6= Data quality check using DADA2
              59 Min

              7 M9T7= Phylogentic Analysis
              1 Hour

              8 M9T8= Taxonomy Analysis
              59 Min

              9 M9T9= Krona Plot
              59 Min

              10 M9T0= Phylogenetic tree construction
              1 Hour

              Instructor

              Dr.Omics(TM)

              0 Rating
              0 Reviews
              111 Students
              6 Courses

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              This course includes:

              • Live classes

              • 15th July 2024

              • Duration 6 Months

              • Skill Level Advanced

              • Lectures 90 lessons

              • 365 Days Access

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