Educational Services

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Educational services we offer

1Clinical Genomics

Clinical Genomics

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

6 Months

2Dissertation on Genomics Data Analysis

Dissertation on Genomic Data Analysis

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

6 Months

3Genome Informatics

Genome Informatics

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

60-90 days

4Transcriptomics

Transcriptomics

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

60 days ( 2-3 hrs/ day )

15 days ( 8 hrs )

5Small RNA sequencing

Small RNA sequencing

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

45 days ( 2-3 hrs/ day )

18 days ( 8 hrs )

6Chip sequencing

Chip sequencing

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

30 days ( 2-3 hrs/ day )

12 days ( 8 hrs )

7Microbial Genomics

Microbial Genomics

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

4 Months

8Metagenomics

Metagenomics

Eligibility

Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Genetics, Botany, Zoology)

Course duration

45 days ( 2-3 hrs/ day )

15 days ( 8 hrs )

Educational services we offer

Clinical Genomics

MDB001- Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different platforms
  • Human genome project
  • Ethical legal issues on HGP
  • Biological databases
  • Biological data file formats
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools
  • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

MBD010- Transcritomics (Clinical Genomics)

  • Overview of RNA Sequencing
  • Experimental and sequencing design
  • Normalization methods
  • Resequencing core-analysis pipeline and tools
  • Differential gene expression analysis
  • Functional annotation of expressed gene
  • Overview of sequence assembly methods
  • Analysis statistics and plots
  • Troubleshooting

MBD009 - Genome Sequencing Analysis (Clinical Genomics)

  • Overview of DNA sequencing
  • Short reads Vs Long reads
  • WGS vs WXS vs Targeted sequencing
  • DNA resequencing core-analysis pipeline and tools
  • Genome alignment, Variant calling, Variant annotation
  • Interpretation of clinical reports ( Different types )
  • Targeted gene panels ( Agilent , twist & other major panels available)
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Experimental design for disease specific panels like cardiac, cancer, lung diseases, etc.
  • Genomics case study

MDB005 - Metagenomics

  • Inroduction to metagenomics ( Targeted Vs Shotgun)
  • Targeted metagenome analysis workflow and tools
  • OTU analysis ( Diversity , Membership , Community structure , Phylogeny )
  • Shotgun metagenome analysis workflow and tools ( Marker gene analysis , Binning , Genome assembly )
  • Functional annotation of genes from assembled genomes
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 6 months

Dissertation on Genomics Data Analysis

Sequencing and Analyses

  • Transcriptomics [Human, and other model organisms]
  • Whole transcriptome profiling (with or without de novo assembly)
  • SmallRNA
  • profiling
  • Genomics [Human, and other model organisms]
  • Whole genome resequencing
  • Whole/targeted exome sequencing
  • Metagenomics [Environmental samples]
  • Targeted/amplicon sequencing
  • Epigenomics [Human, and other model organisms]
  • ChIP
  • sequencing

Broader Fields

  • Physiology
  • Developmental biology
  • Disease biology
  • Diagnostics
  • Oncology
  • Pharmacology
  • Agriculture
  • Ecology and Evolution

Organisms

  • Human (H. sapiens ), mouse ( M. musculus)
  • Arabidopsis, rice (O. sativa) Organisms
  • Zebra Fish (D. rerio)
  • Western clawed frog (X. tropicalis)
  • Fruit fly (D. melanogaster)
  • Nematode worm (C. elegans)
  • Yeast (S. cerevisiae)
  • E. coli and other bacteria
  • Other non model organisms
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)

Genome Informatics

MDB001 - Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different Platforms
  • Human genome project
  • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

Broader Fields

  • Overview of RNA sequencing
  • Experimental and sequencing design
  • Normalization methods
  • Resequencing core-analysis pipeline and tools
  • Differential gene expression analysis
  • Functional annotation of expressed genes
  • Analyses statistics and plots
  • de novo RNA-seq analysis pipelines
  • Functional annotation of transcripts by blast
  • Advanced analysis (Visualization, network analysis, integration with other sequencing)
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 60 - 90 days

Transcriptomics

MDB001 - Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different Platforms
  • Human genome project
  • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

MBD002 - Transcriptomics

  • Overview of RNA sequencing
  • Experimental and sequencing design
  • Normalization methods
  • Resequencing core-analysis pipeline and tools
  • Differential gene expression analysis
  • Functional annotation of expressed genes
  • Analyses statistics and plots
  • de novo RNA-seq analysis pipelines
  • Functional annotation of transcripts by blast
  • Advanced analysis (Visualization, network analysis, integration with other sequencing)
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 60 days ( 2-3 hrs/ day )
  • 15 days ( 8 hrs )

Small RNA sequencing

MDB001 - Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different platforms
  • Human genome project
  • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment
  • methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools
  • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

MBD004 - SmallRNA

  • Overview of sRNAs and sRNASequencing (plants vs animals)
  • Experimental and sequencing design
  • sRNA related databases and tools
  • sRNA sequencing analysis workdflow and toools
  • Novel miRNA prediction and validation
  • miRNA target discovery
  • sRNA cluster identification, annotation and DE analysis
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 45 days ( 2-3 hrs/ day )
  • 15 days ( 8 hrs )

Chip Sequencing Analysis

DB001- Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different Platforms
  • Human genome project • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools
  • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

MDB006 - ChIP Sequencing

  • Introduction to ChIP-sequencing (Experimental design, controls, ChIP-seq protocol, etc )
  • ChIP-seq analysis workflow and tools (alignment, normalization, peak calling, motif discovery, peak annotation, visualization)
  • Differential peak analysis and associated GO and pathway analysis • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 30 days ( 2-3 hrs/ day )
  • 12 days ( 8 hrs )

Microbial Genomics

MDB007 - Basics of Next-Generation Sequencing ( Microbial genomics)

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different Platforms
  • Human genome project
  • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools
  • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

MBD008- Transcritomics ( Microbial Genomics)

  • Overview of RNA sequencing
  • Experimental and sequencing design
  • Normalization methods
  • Resequencing core-analysis pipeline and tools
  • Differential gene expression analysis
  • Functional annotation of expressed genes
  • Analyses statistics and plots
  • de novo RNA-seq analysis pipelines
  • Functional annotation of transcripts by blast
  • Advanced analysis (Visualization, network analysis, integration with other sequencing)
  • Non coding RNA analysis
  • Experimental validation methods
  • Troubleshooting

MDB005 - Metagenomics

  • Introduction to metagenomics (targeted vs shotgun)
  • Targeted metagenome Analysis workflow and tools
  • OTU Analysis (diversity, membership, community structure, phylogeny)
  • Shotgun metagenome analysis workflow and tools (marker gene analysis, binning, genome assembly)
  • Functional annotation of genes from assembled genomes
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 4 months

Metagenomics

DB001- Basics of Next Generation Sequencing

  • Overview of Cell, Genome and Genomics
  • Overview of sequencing technology and different Platforms
  • Human genome project
  • Biological databases
  • Biological data file formats
  • Overview of pairwise sequence alignment methods
  • Overview of sequence assembly methods
  • Basics on Bioprograming (Unix, Shell Scripting, R, Python)
  • Installation of tools
  • Preprocessing of raw sequencing data - quality control
  • Visualizing the data - Genome browsers
  • Community support

Broader Fields

  • Introduction to metagenomics (targeted vs shotgun)
  • Targeted metagenome Analysis workflow and tools
  • OTU Analysis (diversity, membership, community structure, phylogeny)
  • Shotgun metagenome analysis workflow and tools (marker gene analysis, binning, genome assembly)
  • Functional annotation of genes from assembled genomes
  • Experimental validation methods
  • Troubleshooting
Eligibility
  • Post graduate Life science students - M.sc ( Biotechnology, Microbiology, Biochemistry, Applied Sciences , Bioinformatics , Genetics, Botany, Zoology)
  • B.E, B.Tech, M.Tech ( Biotechnology, Bioinformatics, Industrial Biotechnology, Computational Biotechnology)
  • Research scholars, Post Doc Researchers
Course Duration
  • 45 Days ( 2-3 hrs /Day)
  • 15 days (8hrs)

1

Hands on Training

2

Access to LMS Portal

3

Access to the Server to complete the project

4

Both online & offline mode is available