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Comprehensive Bioinformatics: Learn Genomics Data Analysis

سرفصل های دوره

Unlocking Genomic Data Analysis Mysteries through Practical Bioinformatics Applications for Research Purpose


1. Introduction
  • 1. Introduction to Genomics for Bioinformatics

  • 2. Sequence Alignment
  • 1. Pairwise Sequence Alignment
  • 2. Multiple Sequence Alignment
  • 3. Sequence Alignment Using Mega

  • 3. Genome Annotation Analysis
  • 1. Genome Annotation and visualization

  • 4. Gene Structure Analysis
  • 1. Intron and Exon Analysis

  • 5. Linux in Bioinformatics (optional)
  • 1. Introduction and Why CLI in Bioinformatics
  • 2. CLI and GUI Explanation
  • 3. if we already have Graphical user interface system why we should use CLI
  • 4. Short Practical with Programming Language
  • 5. Why Would You Use CLI over GUI
  • 6. Drawbacks of CLI and GUI
  • 7. Foundation behind CLI Shell explanation
  • 8. Linux Introduction and Usage Over years
  • 9. Linux Distros
  • 10. Why Ubuntu Operating System
  • 11. WSL Explanation
  • 12. Linux Vs Unix
  • 13. (Practical) Making A Subsystem For Linux In Windows OS
  • 14. Linux File Handling Commands
  • 15. Accessing And Creating Files In Windows Os
  • 16. Basic Process Management Commands for Linux OS
  • 17. E-utilities on the Linux Command Line
  • 18. Installing NCBI through CLi
  • 19. Entrez Direct Functions
  • 20. Mrna And Protein Seq Retrieval
  • 21. Batch Retrieval of Protein Using Taxon Id
  • 22. Retrieving CDS From Reference Genome
  • 23. Explaining Different Commands
  • 24. Commands.html

  • 6. Variant Calling Analysis on Linux
  • 1. Introduction of Course Section
  • 2. Variants and Types
  • 3. Understanding the Metadata and Softwares
  • 4. Getting Data From SRA Using SRA Toolkit
  • 5. Quality Control and Trimming
  • 6. Sam and Bcf Tools and Fixing NS and Calling Variants
  • 7. Alignment to Reference Genome
  • 8. Separation of SNPs and Indels Variants
  • 9. Visualizing Variants Using IGV and UCSC Browser
  • 10. Pipeline Code.html

  • 7. Gene location on Chromosome
  • 1. Gene location on Chromosome Analysis

  • 8. Transcriptomics (NGS Data) Analysis using GUI and CLI
  • 1. Introduction of Course Section
  • 2. Next-generation sequencing
  • 3. Generations of Sequencing
  • 4. NGS Workflow
  • 5. SRA Database introduction
  • 6. SRA File
  • 7. Galaxy Server Intro to Goals
  • 8. Galaxy Server And Objects
  • 9. Getting Onto Galaxy
  • 10. Tools For NGS Data Analysis
  • 11. Getting SRA Runs from Databases And platform
  • 12. Ncbi Genome to Galaxy
  • 13. Getting Sra Runs To Galaxy
  • 14. Fastqc Tool To Dataset Generated Dataset
  • 15. Trimmomatic Tool On Dataset
  • 16. Alignmentgenome Mapping
  • 17. Abundance Estimation Tool On Dataset
  • 18. From Values To Visuals (Heatmap)
  • 19. Understanding NGS For Linux
  • 20. Getting the SRA Reads
  • 21. Bioinformatics Pipeline
  • 22. Checking the Quality of Data
  • 23. Quality Trimming of data
  • 24. Aligners and Aligning Reads to genome
  • 25. SAM and Bam File Indexing and Sorting
  • 26. Feature Extraction
  • 27. Pipeline Code.html

  • 9. Proteomics
  • 1. Protein Structure Prediction
  • 2. Homology Modeling
  • 3. GUI based Modeling of Proteins
  • 4. Command Line based Protein Modeling
  • 5. De-Novo and Machine Learning Modeling
  • 6. Protein Visualization Analysis
  • 7. Motifs and Domains analysis
  • 8. Protein Physical Parameters and Location Analysis
  • 9. Protein Pathway and Enrichment Analysis
  • 10. Protein-Protein Interaction Network
  • 11. Proteins Pathway Analysis

  • 10. Phylogenetics
  • 1. Phylogenetics Analysis

  • 11. Functional Genomics
  • 1. Gene Enrichment Analysis
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