Learn Bioinformatics - Beginner To Master Through Projects

[martinstronis65]

Learn Bioinformatics - Beginner To Master Through Projects
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.82 GB | Duration: 8h 7m​

Master Bioinformatics Through Projects: Master the Sequence, Genomics, Proteomics, Transcriptomics, and RNA-Seq Analysis

What you'll learn
Gain a comprehensive understanding of bioinformatics and its subfields, including genomics, proteomics, transcriptomics, metabolomics, and pharmacogenomics.
Develop practical skills to retrieve and analyze biological data using popular bioinformatics databases and tools.
Build a strong foundation in bioinformatics programming and command-line skills for advanced data analysis.
Understand the scope and importance of bioinformatics in modern biology.
Differentiate between the various subfields of bioinformatics and their applications.
Identify the skills required to pursue a career in bioinformatics.
Learn to navigate and extract data from primary, secondary, and derived bioinformatics databases like NCBI, PDB, Uniprot, and GEO.
Develop proficiency in performing practical searches and retrieving biological data for analysis.
Gain an overview of essential bioinformatics tools and programming languages like Python, R, and Perl.
Understand the role of bioinformatics tools in solving biological questions.
Perform pairwise and multiple sequence alignment to understand genetic similarity.
Conduct homology searches and interpret results using tools like BLAST.
Predict gene structures, annotate genomes, and analyze gene functions.
Visualize genomic data and locate genes on chromosomes.
Analyze protein motifs, domains, and interactions in protein-protein interaction (PPI) networks.
Calculate protein physical parameters using proteomics tools.
Build and interpret phylogenetic trees to study evolutionary relationships.
Use tools like IQ-TREE and iTOL for evolutionary analysis.
Navigate the Linux file system and execute bioinformatics workflows using basic Linux commands.
Write bash scripts to automate bioinformatics analyses.
Analyze and interpret transcriptomics data, including microarray datasets.
Conduct gene expression studies to identify significant patterns.
Retrieve, preprocess, and align RNA-Seq data to reference genomes.
Perform quantification and analysis of RNA-Seq data using command-line tools.
Develop problem-solving skills through project-based learning.
Apply bioinformatics methods to real-world biological datasets.
Be prepared for advanced studies or a professional career in bioinformatics.

Requirements
Familiarity with using a computer, installing software, and navigating the internet.
A basic understanding of biology or life sciences concepts (e.g., DNA, RNA, proteins) is helpful but not mandatory.
A desire to learn bioinformatics through hands-on projects and data-driven approaches.
A laptop or desktop computer (Windows, Mac, or Linux).
Stable internet connection for accessing databases, tools, and course materials.
Familiarity with basic command-line interfaces or programming is a bonus but not required-everything will be taught from scratch.

Description
Learn Bioinformatics - Beginner to Master Through Projects is a comprehensive and hands-on course designed for anyone looking to delve into the exciting field of bioinformatics. Whether you are a beginner, an intermediate learner, or someone exploring a career switch, this course equips you with the essential knowledge and practical skills to excel in the field. Through real-world projects and step-by-step guidance, you'll explore the vast landscape of bioinformatics, from foundational concepts to advanced applications.What Will You Learn?This course offers a structured and immersive learning experience that covers a wide range of topics:Foundations of BioinformaticsUnderstand what bioinformatics is and its critical role in modern biology.Explore various subfields like genomics, proteomics, transcriptomics, metabolomics, structural bioinformatics, pharmacogenomics, and computational biology.Learn about the latest trends and required skills in computational biology.Data Retrieval from Bioinformatics DatabasesGain proficiency in using key bioinformatics databases, including NCBI, PDB, Uniprot, and GEO.Learn to retrieve, interpret, and analyze biological data effectively.Bioinformatics Tools and ProgrammingExplore essential tools and programming languages used in bioinformatics, such as Python, R, and Linux commands.Understand how these tools are applied to solve real-world biological problems.Sequence AnalysisMaster sequence alignment techniques, including pairwise and multiple sequence alignments.Conduct homology searches using BLAST and interpret the results.Functional Genomics and ProteomicsPerform gene prediction, genome annotation, and functional enrichment analysis.Analyze protein motifs, domains, and protein-protein interaction (PPI) networks.Evolutionary BioinformaticsBuild and interpret phylogenetic trees to explore evolutionary relationships using tools like IQ-TREE and iTOL.Command-Line BioinformaticsDevelop strong Linux skills to navigate file systems, install tools, and write bash scripts.Automate bioinformatics workflows for efficient data analysis.Transcriptomics and RNA-Seq Data AnalysisAnalyze transcriptomics data, including microarray datasets.Perform RNA-Seq data retrieval, preprocessing, alignment, and quantification using Linux.How Is This Course Structured?The course is divided into 10 sections, each focusing on a specific area of bioinformatics. Each section includes:Engaging Lectures: Clear and concise explanations of concepts with real-world examples.Practical Demonstrations: Hands-on tutorials to help you apply what you learn.Projects: End-of-section projects that reinforce your learning and provide practical experience.By the end of this course, you'll complete 10 real-world projects, such as:Exploring bioinformatics subfields.Retrieving and analyzing biological data from major databases.Conducting sequence alignments and phylogenetic analysis.Performing genome annotation, gene prediction, and functional enrichment.Analyzing transcriptomics and RNA-Seq data.Who Should Take This Course?This course is designed for:Beginners and intermediate learners in bioinformatics.Students and researchers in biology, biotechnology, or related fields.Professionals exploring a career switch into bioinformatics.Programmers and data analysts interested in applying their skills to biological data.Anyone passionate about learning bioinformatics through hands-on projects.Why Choose This Course?Practical Approach: Learn bioinformatics through 10 real-world projects and practical demonstrations.Comprehensive Content: Gain expertise in various aspects of bioinformatics, including genomics, proteomics, transcriptomics, and more.Beginner-Friendly: Minimal prerequisites and step-by-step guidance make this course accessible to everyone.Career-Oriented: Acquire skills that are highly sought after in the bioinformatics industry.What Do You Need to Start?All you need is a computer, an interest in biology, and a desire to learn. No prior experience in bioinformatics or programming is required-we'll guide you every step of the way.Enroll now and start your journey toward becoming a bioinformatics expert. Unlock the power of biological data and solve real-world challenges with confidence!

Overview
Section 1: Introduction to Bioinformatics and Subfields

Lecture 1 Introduction to Bioinformatics

Lecture 2 Genomics

Lecture 3 Proteomics

Lecture 4 Transcriptomics

Lecture 5 Metabolomics

Lecture 6 Structural Bioinformatics

Lecture 7 Pharmacogenomics

Lecture 8 Computational Biology

Lecture 9 Other Subfields of Bioinformatics

Lecture 10 Trends In Computational Biology

Lecture 11 Skills Needed For Bioinformatics Field

Section 2: Bioinformatics Databases and Data Retrieval

Lecture 12 Introduction To Bioinformatics Databases

Lecture 13 Primary Databases Introduction And NCBI Practical

Lecture 14 EMBL and DDBJ Database Practical

Lecture 15 Introduction to secondary databases

Lecture 16 PDB database

Lecture 17 Uniprot Database

Lecture 18 GEO Database

Lecture 19 Derived Databases and Practical

Lecture 20 Conclusion and Project Insights

Section 3: Bioinformatics Tools and Programming languages

Lecture 21 Bioinformatics Tools and Programming languages

Section 4: Sequence Analysis

Lecture 22 Sequence alignment and Pairwise sequence alignment

Lecture 23 Practical Pairwise sequence alignment

Lecture 24 Multiple sequence alignment

Lecture 25 Practical Multiple sequences alignment

Lecture 26 Homology searching and blast

Lecture 27 Practical Blast and homology searching

Section 5: Functional Genomics

Lecture 28 Introduction to Genomics

Lecture 29 Gene prediction analysis

Lecture 30 Gene structure prediction

Lecture 31 Genome annotation and visualization

Lecture 32 Gene location on chromosome

Lecture 33 Gene functional enrichment analysis

Section 6: Proteomics

Lecture 34 Introduction to Proteomics

Lecture 35 Motifs analysis

Lecture 36 Domains Analysis

Lecture 37 PPI Networks

Lecture 38 Protein physical parameters

Section 7: Evolutionary Bioinformatics

Lecture 39 Introduction to evolutionary Bioinformatics

Lecture 40 Practical building Phylogenetic trees

Section 8: Command Line Bioinformatics

Lecture 41 Introduction to Linux

Lecture 42 Environment setup on Windows

Lecture 43 Navigating the Linux file system

Lecture 44 Basic Linux commands for bioinformatics

Lecture 45 Installing bioinformatics tools

Lecture 46 Bash scripting for bioinformatics

Section 9: Transcriptomics

Lecture 47 Introduction to Transcriptomics

Lecture 48 Microarray Data analysis

Section 10: RNA-Seq Data Analysis

Lecture 49 Introduction to RNA-Seq Data Analysis

Lecture 50 Retrieving RNA-Seq Data

Lecture 51 Preprocessing of RNA-Seq Data

Lecture 52 Indexing And Alignment To Reference Genome

Lecture 53 Quantifications Of BAM Files

This course is perfect for anyone looking to build a strong foundation in bioinformatics through hands-on learning and real-world projects.,Students or professionals with little to no prior experience in bioinformatics who want to start their journey in this field.,Those with some exposure to bioinformatics concepts who want to deepen their understanding and learn advanced techniques through practical projects.,Biology, biotechnology, or related field students and researchers looking to integrate bioinformatics into their studies or work.,Individuals exploring bioinformatics as a potential career path or looking to upskill for opportunities in genomics, proteomics, computational biology, and related areas.,Computer scientists, programmers, or data analysts interested in applying their technical skills to biological data and bioinformatics challenges.,Learners who prefer project-based, hands-on education to theoretical coursework and want to work with real-world biological data.

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!