0
Instructor Name

Dr. Omics (DP)

Category

Internships

Reviews

0 (0 Rating)

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 DOWNLOAD BROCHURE

                  1 30/9/2024
                  1 Hour


                  2 01/10/2024
                  1 Hour


                  3 03/10/2024
                  1 Hour


                  4 04/10/2024
                  1 Hour


                  1 M1T1 = Introduction to Bioinformatics
                  59 Min


                  2 M1T2 = NCBI Database Overview
                  59 Min


                  3 M1T3 = Genbank Database Practical Exercises
                  59 Min


                  4 M1T4 = UCSC Genome Browser Overview
                  1 Hour


                  5 M1T5 = UCSC Genome Browser Hands-on Exercises
                  59 Min


                  6 M1T6 = Pubmed Database Introduction
                  59 Min


                  7 M1T7 = Clinvar Database Overview
                  59 Min


                  8 M1T8 = KEGG Database Overview and Exercises
                  59 Min


                  9 M1T9 = Protein Databases (UniProt)
                  59 Min


                  10 M1T10 = Protein Databases (PDB)
                  59 Min


                  11 M1T11 = Online BLAST Introduction and Exercises
                  59 Min


                  12 M1T12 = Standalone BLAST Setup and Exercises
                  59 Min


                  13 M1T13 = Standalone BLAST Advanced Exercises
                  1 Hour


                  14 M1T14 = Multiple Sequence Alignment with ClustalW
                  59 Min


                  15 M1T15 = Multiple Sequence Alignment with MEGA
                  59 Min


                  1 M10T1= Introduction to MIcroarray
                  1 Hour


                  2 M10T2= Introduction to Microarray
                  1 Hour


                  3 M10T3= Data Downloading
                  1 Hour


                  4 M10T4= Microarray Pipeline upto Normalization
                  1 Hour


                  5 M10T5= Microarray Pipeline till DEG
                  1 Hour


                  6 M10T6= Annotation of DEG
                  59 Min


                  7 M10T7= Encrichment Analysis
                  1 Hour


                  8 M10T8= Network Analysis
                  1 Hour


                  9 M10T9= Volcano Plot
                  59 Min


                  10 M10T10= Heatmap
                  1 Hour


                  1 M9T1= Introduction to metagenomics "
                  1 Hour


                  2 M9T2= Tools installation for metagenomics
                  1 Hour


                  3 M9T3= Data Downloading
                  1 Hour


                  4 M9T4= Quality control & Trimming
                  59 Min


                  5 M9T5= Data importing in Qimme2
                  1 Hour


                  6 M9T6= Data quality check using DADA2
                  1 Hour


                  7 M9T7= Phylogentic Analysis
                  1 Hour


                  8 M9T8= Taxonomy Analysis
                  58 Min


                  9 M9T9= Krona Plot
                  1 Hour


                  1 M8T1= Tools installation for De-novo RNAseq
                  59 Min


                  2 M8T2= Tools installation for De-novo RNAseq
                  59 Min


                  3 M8T3= Data downlading and Quality control
                  59 Min


                  4 M8T4= Assembly Creation
                  59 Min


                  5 M8T5= Abundance count estimation
                  1 Hour


                  6 M8T6= Generation of count matrix and DEG
                  59 Min


                  7 M8T7= BLAST
                  59 Min


                  8 M8T8= Understanding the DEG results
                  59 Min


                  9 M8T9= Annotation of DEGs
                  1 Hour


                  10 M8T10= Encrichment Analysis
                  1 Hour


                  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
                  1 Hour


                  4 M7T4=Indexing of Genome and Alignment of Reads
                  1 Hour


                  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
                  1 Hour


                  8 M7T8=Annotation of DEG
                  59 Min


                  9 M7T9=Functional and Pathway Enrichment Analysis
                  59 Min


                  10 M7T10=Network Analysis
                  59 Min


                  1 M6T1= Introduction to NGS and DNAseq
                  1 Hour


                  2 M6T2= Basic Terminologies in NGS
                  1 Hour


                  3 M6T3= Understanding of SRA database
                  59 Min


                  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
                  1 Hour


                  8 M6T8= Variation calling using GATK
                  1 Hour


                  9 M6T9= Variant Effect Prediction(VEP)
                  1 Hour


                  10 M6T10= Variation Visualization (IGV)
                  1 Hour


                  1 Day 1
                  59 Min


                  2 Day 2
                  1 Hour


                  3 Day 3
                  1 Hour


                  4 Day 4
                  59 Min


                  5 Day 5
                  59 Min


                  1 M2T1 = Overview and Installation of Linux
                  1 Hour


                  2 M2T2 = Basic Linux Commands
                  1 Hour


                  3 M2T3 = Advanced Linux Commands
                  59 Min


                  4 M2T4 = Package Management using Repository
                  1 Hour


                  5 M2T4 = Package Management using Repository
                  1 Hour


                  1 M3T1 = Introduction to Python
                  1 Hour


                  2 M3T2= Data Types
                  59 Min


                  3 M3T3= String Handling
                  1 Hour


                  4 M3T4= Data Structure
                  59 Min


                  5 M3T5=Control Structure
                  1 Hour


                  6 M3T6 = Function
                  59 Min


                  7 M3T7= File Handling
                  59 Min


                  8 M3T8= Data Manipulation
                  59 Min


                  9 M3T9= Data Visualization
                  1 Hour


                  10 M3T10= Biopython
                  59 Min


                  1 M4T1 = Introduction and Installation of R
                  1 Hour


                  2 M4T2= Data Types in R
                  59 Min


                  3 M4T3= Data Structure
                  59 Min


                  4 M4T4= File Handling
                  1 Hour


                  5 M4T5=Control Structure
                  59 Min


                  6 M4T6 = Function
                  59 Min


                  7 M4T7= Package Management
                  59 Min


                  8 M4T8= Data Manipulation
                  59 Min


                  9 M4T9= Data Visualization
                  59 Min


                  10 M4T10= Statistical Analysis
                  59 Min


                  1. Genebank (N513524) 16 May24
                  2. UCSC (1) (N513524) 19 May24
                  3. PubMed (N513524) 21 May24
                  4. KEGG (N513524) 22 May24
                  5. UniProt (N513524) 23 May24
                  6. PDB (N513524) 24 May24
                  7. ClinVar (N513524) 27 May24
                  8. BLAST (N513524) 29 May24
                  9. Linux Installation (N513524) 3 June24

                  Student Feedback

                  NGS INTERNSHIP (6 MONTHS) / N513524

                  0

                  Course Rating
                  0.00%
                  0.00%
                  0.00%
                  0.00%
                  0.00%

                  No Review found

                  Sign In or Sign Up as student to post a review

                  Reviews

                  Course you might like