Bioinformatics Beginners to advance course to learn in 10 hours to understand the simple and complex topics of bioinfo
What you'll learn
You will learn about the history and applications of bioinformatics
You will learn Basic demonstration of Bioinformatics tools
Different databases used in bioinformatics
Interpretation of Sequence Alignment
Tools Used in sequence Alignment in bioinformatics
Alignment Methods and Representation
They will be able to use and know different categories of sub-databases of NCBI.
Plant Genome Databases
Primary Databases in Bioinformatics
Secondary Databases in Bioinformatics
Protein basic Concepts
Understanding different techniques for protein prediction
Understanding Comparative or Homology modeling
Protein Modeling Using GUI Interface
Swiss Model hands on training
Protein Modeling Using CLI Interface
Protein Modeling Using Modeller
The basics of Next Generation Sequencing and how it can be used for Differential gene expression analysis via RNA sequencing.
Quality Control of NGS data
Trimming the Reads of NGS Data
Different tools for aligning reads to genome
Differential Expression.
Ultimately understand how technologies like RNA sequencing could be used to identify specific genes that can cause certain conditions.
Heatmap Generation of Results
Interpret the results of DEG's
Understanding Bioinformatics Pipeline concept
Use of Galaxy for NGS data processing
Requirements
Background knowledge of Biology and genetics
Knowledge of the composition and function of Proteins
Understanding Bioinformatics Basic Concepts
Description
Updated and to-the-point course. It's worth your money and time! This Course runs through segments of bioinformatics topics that you need to learn from the beginner stage to master the bioinformatics field.The Bioinformatics course is designed to provide a comprehensive overview of the field of bioinformatics, covering the key concepts, tools, and techniques used in the analysis and interpretation of biological data.The course begins with an Introduction to Bioinformatics, where students will learn about the history and development of the field and the role of bioinformatics in modern biology research. They will also explore the various applications of bioinformatics in areas such as genomics, transcriptomics, proteomics, and metabolomics.The course will then delve into the topic of Biological Databases, providing an overview of the different types of databases available, and how they are used to store and manage biological data. Students will learn how to navigate and search different databases, including NCBI, Ensembl, and UniProt.File Formats in Bioinformatics will be covered in the next section, where students will learn about the various file formats used in bioinformatics, such as FASTA, FASTQ, SAM/BAM, and VCF. They will also explore tools and techniques for working with these file formats, including conversion, manipulation, and parsing.Sequence Alignment and Tools will be covered in the next section, where students will learn about the principles of sequence alignment, and the different tools and algorithms used for sequence alignments, such as BLAST, ClustalW, and MUSCLE. They will also learn how to interpret and analyze the results of sequence alignment.Command Line Bioinformatics will be covered in the next section, where students will learn how to work with bioinformatics tools and software using the command line interface (CLI). They will explore basic UNIX commands, and learn how to navigate directories, create and edit files, and run bioinformatics tools from the command line.Bioinformatics and Genomics on GUI and CLI will be covered in the next section, where students will learn how to work with bioinformatics tools and software using graphical user interfaces (GUIs), as well as the command line interface (CLI). They will explore popular GUI-based bioinformatics tools, such as Geneious and CLC Bio, as well as CLI-based tools such as BWA and GATK.The course will conclude with Bioinformatics and Proteomics, where students will learn about the principles of proteomics, and the different tools and techniques used for protein identification, quantification, and analysis. They will also explore how bioinformatics is used to predict protein structure and function, and design drugs and therapies based on protein interactions.
Overview
Section 1: Introduction of Bioinformatics
Lecture 1 Introduction
Lecture 2 Introduction of Bioinformatics field
Lecture 3 History of bioinformatics
Lecture 4 Components of bioinformatics
Lecture 5 Working in Bioinformatics
Lecture 6 Career Outlook for bioinformaticians
Lecture 7 Careers for bioinformaticians
Lecture 8 Applications of Bioinformatics
Lecture 9 Applications of Bioinformatics Pt:2
Section 2: Biological Databases
Lecture 10 Introduction of Biological Databases
Lecture 11 Types of Biological Databases
Lecture 12 Difference Between Primary and Secondary Databases
Lecture 13 Primary Databases
Lecture 14 Explaining Primary Databases
Lecture 15 Explaining Primary Databases pt:2
Lecture 16 Explaining Primary Databases Last Part
Lecture 17 Introduction of Secondary Databases
Lecture 18 Explaining Secondary Databases
Lecture 19 Explaining Secondary Databases pt:2
Lecture 20 Explaining Secondary Databases Pt:3
Lecture 21 Explaining Secondary Databases Pt:4
Lecture 22 Introduction of Literature Databases
Lecture 23 Explaining Literature Databases
Section 3: File Formats in Bioinformatics
Lecture 24 Introduction of File Formats
Lecture 25 Explaining different File Formats
Lecture 26 Summary of File Formats
Section 4: Segment 3: Sequence Alignment and Tools
Lecture 27 Introduction of Sequence Alignment
Lecture 28 History of Sequence Alignment
Lecture 29 Alignment Methods
Lecture 30 Interpretation of Sequence Alignment
Lecture 31 Representation and Storing of Sequences
Lecture 32 Significance and Uses of Sequence Alignment
Lecture 33 Software Used for Sequence Alignment
Lecture 34 Pairwise Sequence Alignment
Lecture 35 Tools for Pairwise Sequence Alignment
Lecture 36 Multiple Sequence Alignment
Lecture 37 Tools for Multiple Sequence Alignment
Lecture 38 Clustal tool for alignment
Section 5: Command line bioinformatics
Lecture 39 Introduction and Why CLI in Bioinformatics
Lecture 40 CLI and GUI Explanation
Lecture 41 if we already have Graphical user interface system why we should use CLI?
Lecture 42 Short Practical with Programming Language
Lecture 43 Why Would You Use CLI over GUI?
Lecture 44 Foundation behind CLI Shell explanation
Lecture 45 Drawbacks of CLI and GUI
Lecture 46 Linux Introduction and Usage Over years
Lecture 47 Linux Distros
Lecture 48 Why Ubuntu Operating System
Lecture 49 WSL Explanation
Lecture 50 Linux Vs Unix
Lecture 51 (Practical) Making A Subsystem For Linux In Windows OS
Lecture 52 Linux File Handling Commands
Lecture 53 Accessing And Creating Files In Windows Os
Lecture 54 Basic Process Management Commands for Linux OS
Lecture 55 E-utilities on the Linux Command Line
Lecture 56 Installing NCBI through CLi
Lecture 57 Entrez Direct Functions
Lecture 58 Mrna And Protein Seq Retrieval
Lecture 59 Batch Retrieval of Protein Using Taxon Id
Lecture 60 Retrieving CDS From Reference Genome
Lecture 61 Explaining Different Commands
Section 6: Bioinformatics and Genomics on GUI
Lecture 62 Introduction of Course Section
Lecture 63 Next-generation sequencing
Lecture 64 Generations of Sequencing
Lecture 65 NGS Workflow
Lecture 66 SRA Database introduction
Lecture 67 SRA File
Lecture 68 Galaxy Server Intro to Goals
Lecture 69 Galaxy Server And Objects
Lecture 70 Getting Onto Galaxy
Lecture 71 Tools For NGS Data Analysis
Lecture 72 Getting SRA Runs from Databases And platform
Lecture 73 Ncbi Genome to Galaxy
Lecture 74 Getting Sra Runs To Galaxy
Lecture 75 Fastqc Tool To Dataset Generated Dataset
Lecture 76 Trimmomatic Tool On Dataset
Lecture 77 Alignment/genome Mapping
Lecture 78 Abundance Estimation Tool On Dataset
Lecture 79 From Values To Visuals (Heatmap)
Section 7: Bioinformatics and Genomics on CLI
Lecture 80 NGS Understanding
Lecture 81 Getting the SRA Reads
Lecture 82 Bioinformatics Pipeline
Lecture 83 Checking the Quality of Data
Lecture 84 Quality Trimming of data
Lecture 85 Aligners and Aligning Reads to genome
Lecture 86 SAM and Bam File Indexing and Sorting
Lecture 87 Feature Extraction
Lecture 88 Pipeline Code
Section 8: Variant Calling on Command line
Lecture 89 Introduction of Course Section
Lecture 90 Variants and Types
Lecture 91 Understanding the Metadata and Software's
Lecture 92 Getting Data From SRA Using SRA Toolkit
Lecture 93 Quality Control and Trimming
Lecture 94 Sam and Bcf Tools and Fixing NS and Calling Variants
Lecture 95 Alignment to Reference Genome
Lecture 96 Separation of SNP's and Indels Variants
Lecture 97 Visualizing Variants Using IGV and UCSC Browser
Lecture 98 Pipeline Code
Section 9: Bioinformatics And Proteomics
Lecture 99 Section Introduction
Lecture 100 Explaining Homology Modeling
Lecture 101 GUI based Modeling of Proteins
Lecture 102 Command Line based Protein Modeling
Lecture 103 De-Novo and Machine Learning Methods
Lecture 104 Phylogenetics Analysis
Lecture 105 Motifs and Domains analysis
Lecture 106 Protein Physical Parameters and Location Analysis
Lecture 107 Protein-Protein Interaction and Enrichment Analysis
Lecture 108 Proteins Pathway Analysis
People generally interested in new research methodologies and would like to try them themselves!,Beginner Bioinformaticians looking to understand the process of Proteins,Beginner Bioinformatics Students,People interested in researching the effects of different pathologies on gene expression or even how gene expression changes over the course of a cell's growth curve.,People looking to carry out differential gene expression and gene ontology analysis.,People who want to carry out bioinformatic analysis without the need for complex code.,Researchers are Encouraged to take this Course.,Beginners Bioinformatics Students,Industry Professionals wants to learn Bioinformatics.
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