وب سایت تخصصی شرکت فرین
دسته بندی دوره ها

Bioinformatics Mastery: Your journey from beginner to Expert

سرفصل های دوره

Bioinformatics Beginners to advance course to learn in 10 hours to understand the simple and complex topics of bioinfo


1 - Introduction to Bioinformatics
  • 1 - Course Introduction
  • 2 - Introduction of Bioinformatics field
  • 3 - History of Bioinformatics
  • 4 - Components of bioinformatics
  • 5 - Working in Bioinformatics
  • 6 - Career Outlook for bioinformaticians
  • 7 - Careers for bioinformaticians
  • 8 - Applications of Bioinformatics
  • 9 - Applications of Bioinformatics Pt2

  • 2 - Bioinformatics Databases and File Formats
  • 10 - Introduction of Biological Databases
  • 11 - Types of Biological Databases
  • 12 - Difference Between Primary and Secondary Databases
  • 13 - Primary Databases
  • 14 - Explaining Primary Databases
  • 15 - Explaining Primary Databases pt2
  • 16 - Explaining Primary Databases Last
  • 17 - Introduction of Secondary Databases
  • 18 - Explaining Secondary Databases
  • 19 - Explaining Secondary Databases pt2
  • 20 - Explaining Secondary Databases Pt3
  • 21 - Explaining Secondary Databases Pt4
  • 22 - Introduction of Literature Databases
  • 23 - Explaining Literature Databases
  • 24 - Introduction of File Formats
  • 25 - Explaining different File Formats
  • 26 - Summary of File Formats

  • 3 - Plant Databases
  • 27 - Plant database introduction
  • 28 - Types Of Databases
  • 29 - Brassica Database
  • 30 - Phytozome
  • 31 - Ensembl Plants
  • 32 - Gsad Database
  • 33 - NCBI Database
  • 34 - Pgdjb Database
  • 35 - Ptgbase Database
  • 36 - Rdna Database
  • 37 - Gdb Browser

  • 4 - Sequence Alignment in Bioinformatics
  • 38 - Introduction of Sequence Alignment
  • 39 - History of Sequence Alignment
  • 40 - Alignment Methods
  • 41 - Interpretation of Sequence Alignment
  • 42 - Representation and Storing of Sequences
  • 43 - Significance and Uses of Sequence Alignment
  • 44 - Software Used for Sequence Alignment
  • 45 - Pairwise Sequence Alignment
  • 46 - Tools for Pairwise Sequence Alignment
  • 47 - Multiple Sequence Alignment
  • 48 - Tools for Multiple Sequence Alignment
  • 49 - Clustal tool for alignment

  • 5 - Proteomics Using Bioinformatics
  • 50 - Section Introduction
  • 51 - Explaining Homology Modeling
  • 52 - GUI based Modeling of Proteins
  • 53 - Command Line based Protein Modeling
  • 53 - protein.zip
  • 54 - DeNovo and Machine Learning Methods
  • 55 - Protein Structure Prediction
  • 56 - Protein Visualization Analysis
  • 57 - Phylogenetics Analysis
  • 58 - Motifs and Domains analysis
  • 59 - Protein Physical Parameters and Location Analysis
  • 60 - ProteinProtein Interaction and Enrichment Analysis
  • 61 - Proteins Pathway Analysis

  • 6 - Linux in Bioinformatics Command Line Bioinformatics
  • 62 - Introduction and Why CLI in Bioinformatics
  • 63 - CLI and GUI Explanation
  • 64 - if we already have Graphical user interface system why we should use CLI
  • 65 - Short Practical with Programming Language
  • 66 - Why Would You Use CLI over GUI
  • 67 - Foundation behind CLI Shell explanation
  • 68 - Drawbacks of CLI and GUI
  • 69 - Linux Introduction and Usage Over years
  • 70 - Linux Distros
  • 71 - Why Ubuntu Operating System
  • 72 - WSL Explanation
  • 73 - Linux Vs Unix
  • 74 - Practical Making A Subsystem For Linux In Windows OS
  • 75 - Linux File Handling Commands
  • 76 - Accessing And Creating Files In Windows Os
  • 77 - Basic Process Management Commands for Linux OS
  • 78 - Eutilities on the Linux Command Line
  • 79 - Installing NCBI through CLi
  • 80 - Entrez Direct Functions
  • 81 - Mrna And Protein Seq Retrieval
  • 82 - Batch Retrieval of Protein Using Taxon Id
  • 83 - Retrieving CDS From Reference Genome
  • 84 - Explaining Different Commands
  • 85 - Commands.html

  • 7 - NGS Data Analysis using Galaxy and Linux
  • 86 - Introduction of Course Section
  • 87 - Nextgeneration sequencing
  • 88 - Generations of Sequencing
  • 89 - NGS Workflow
  • 90 - SRA Database introduction
  • 91 - SRA File
  • 92 - Galaxy Server Intro to Goals
  • 93 - Galaxy Server And Objects
  • 94 - Getting Onto Galaxy
  • 95 - Tools For NGS Data Analysis
  • 96 - Getting SRA Runs from Databases And platform
  • 97 - Ncbi Genome to Galaxy
  • 98 - Getting Sra Runs To Galaxy
  • 99 - Fastqc Tool To Dataset Generated Dataset
  • 100 - Trimmomatic Tool On Dataset
  • 101 - Alignmentgenome Mapping
  • 102 - Abundance Estimation Tool On Dataset
  • 103 - From Values To Visuals Heatmap
  • 104 - Understanding NGS For Linux
  • 105 - Getting the SRA Reads
  • 105 - file.zip
  • 106 - Bioinformatics Pipeline
  • 107 - Checking the Quality of Data
  • 108 - Quality Trimming of data
  • 109 - Aligners and Aligning Reads to genome
  • 110 - SAM and Bam File Indexing and Sorting
  • 111 - Feature Extraction
  • 112 - Pipeline Code.html

  • 8 - Variant Calling Analysis Using Linux
  • 113 - Introduction of Course Section
  • 114 - Variants and Types
  • 115 - Understanding the Metadata and Softwares
  • 116 - Getting Data From SRA Using SRA Toolkit
  • 117 - Quality Control and Trimming
  • 118 - Sam and Bcf Tools and Fixing NS and Calling Variants
  • 119 - Alignment to Reference Genome
  • 120 - Separation of SNPs and Indels Variants
  • 121 - Visualizing Variants Using IGV and UCSC Browser
  • 122 - Pipeline Code.html

  • 9 - Python for Bioinformatics
  • 123 - Introduction to Bioinformatics and Why Python
  • 124 - BioPython Introduction
  • 125 - GitHub Repository for Python.html
  • 126 - Setting up Coding Environment
  • 127 - Explaining the libraries for the course
  • 128 - Advance File Formats of Bioinformatics with BioPython
  • 129 - Sequence Analysis Using Biopython
  • 130 - Database RetrievalAccessing Using Biopython
  • 131 - Working With Genomes Using Biopython
  • 132 - Phylogenetic Tree Construction using Biopython
  • 133 - Proteomics Analysis Using Biopython
  • 134 - Machine Learning in Bioinformatics

  • 10 - R for Bioinformatics
  • 135 - Introduction to Bioinformatics and R Exploring the Intersection of Biology
  • 136 - Getting Started with R Installation and Variables Understanding
  • 137 - Working with R Packages Installing Loading and Exploring Bioinformatics
  • 138 - Differential Gene Expression Analysis with Deseq2 Preparing Data
  • 139 - Deseq2 Code Understanding
  • 140 - Converting Ensembl Gene IDs to Gene Symbols Using R Techniques and Packages
  • 141 - Visualizing Gene Expression Data Creating Stunning Plots with ggplot2
  • 142 - Introduction to SingleCell RNA Sequencing scRNAseq Data Analysis
  • 143 - Exploring scRNAseq Code Cell Trajectories and Gene Expression Dynamics
  • 144 - GitHub Source Code for R.html

  • 11 - Microarray Data Analysis Using R
  • 145 - Introduction of Microarray
  • 146 - Microarray Databases
  • 147 - Microarray Analysis Using GEO2R
  • 148 - Microarray Analysis on R
  • 149 - Source Code for Microarray Section.html
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    تاریخ انتشار: ۲ اسفند ۱۴۰۲
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