Udemy - Differential Gene Expression Analysis - Your Complete A to Z

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[ TutGator.com ] Udemy - Differential Gene Expression Analysis - Your Complete A to Z
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction to the course
    • 001 Welcome to the course_.mp4 (71.1 MB)
    • 001 Welcome to the course__en.vtt (3.3 KB)
    • 002 Course structure, aims and objectives.mp4 (40.9 MB)
    • 002 Course structure, aims and objectives_en.vtt (3.3 KB)
    • 003 Your first bioinformatic challenge_.mp4 (4.0 MB)
    • 003 Your first bioinformatic challenge__en.vtt (0.8 KB)
    • 004 Quiz 1 file - an explanation.mp4 (20.7 MB)
    • 004 Quiz 1 file - an explanation_en.vtt (0.9 KB)
    • 005 Quiz 1 walkthrough - undertaking a BLAST search.mp4 (49.9 MB)
    • 005 Quiz 1 walkthrough - undertaking a BLAST search_en.vtt (6.3 KB)
    • 22397215-seq.fasta.txt (18.7 KB)
    02 - Biology for differential gene expression analysis
    • 001 Biology for differential gene expression analysis - introduction.mp4 (11.7 MB)
    • 001 Biology for differential gene expression analysis - introduction_en.vtt (1.0 KB)
    • 002 What is this thing called bioinformatics_.mp4 (31.6 MB)
    • 002 What is this thing called bioinformatics__en.vtt (11.1 KB)
    • 003 Overview of gene expression.mp4 (116.5 MB)
    • 003 Overview of gene expression_en.vtt (9.2 KB)
    • 004 Translation of genetic code - theory.mp4 (15.6 MB)
    • 004 Translation of genetic code - theory_en.vtt (5.9 KB)
    • 005 Translation of genetic code - practice.mp4 (17.6 MB)
    • 005 Translation of genetic code - practice_en.vtt (5.7 KB)
    • 006 Open Reading Frame translation walk-through.mp4 (7.0 MB)
    • 006 Open Reading Frame translation walk-through_en.vtt (2.6 KB)
    • 007 Gene structure and splicing.mp4 (19.2 MB)
    • 007 Gene structure and splicing_en.vtt (6.0 KB)
    • 008 Biology for differential gene expression analysis - section summary.mp4 (4.2 MB)
    • 008 Biology for differential gene expression analysis - section summary_en.vtt (0.7 KB)
    03 - Sequencing, PCR and microarrays - technical foundation
    • 001 Lab techniques for differential gene expression analysis - intro.mp4 (6.3 MB)
    • 001 Lab techniques for differential gene expression analysis - intro_en.vtt (0.5 KB)
    • 002 Sequencing.mp4 (11.4 MB)
    • 002 Sequencing_en.vtt (1.1 KB)
    • 003 PCR.mp4 (27.7 MB)
    • 003 PCR_en.vtt (2.4 KB)
    • 004 Sanger sequencing.mp4 (11.3 MB)
    • 004 Sanger sequencing_en.vtt (3.8 KB)
    • 005 Next generation sequencing.mp4 (12.5 MB)
    • 005 Next generation sequencing_en.vtt (4.4 KB)
    • 006 Microarrays.mp4 (39.8 MB)
    • 006 Microarrays_en.vtt (3.2 KB)
    • 007 Lab techniques for differential gene expression analysis - section summary.mp4 (4.6 MB)
    • 007 Lab techniques for differential gene expression analysis - section summary_en.vtt (0.5 KB)
    04 - Experimental, statistical and analytical foundation plus quantitative PCR
    • 001 First things first - RStudio installation.mp4 (19.3 MB)
    • 001 First things first - RStudio installation_en.vtt (3.6 KB)
    • 002 Differential gene expression - fundamentals.mp4 (57.2 MB)
    • 002 Differential gene expression - fundamentals_en.vtt (5.9 KB)
    • 003 Sample preparation for differential gene expression analysis.mp4 (25.9 MB)
    • 003 Sample preparation for differential gene expression analysis_en.vtt (6.2 KB)
    • 004 Measuring gene expression with qPCR.mp4 (94.3 MB)
    • 004 Measuring gene expression with qPCR_en.vtt (6.4 KB)
    • 005 qPCR quantification of gene expression.mp4 (145.4 MB)
    • 005 qPCR quantification of gene expression_en.vtt (15.9 KB)
    • 006 qPCR quiz - part 1 - intro.mp4 (4.9 MB)
    • 006 qPCR quiz - part 1 - intro_en.vtt (1.2 KB)
    • 007 qPCR quiz walkthrough - part 1.mp4 (14.3 MB)
    • 007 qPCR quiz walkthrough - part 1_en.vtt (6.3 KB)
    • 008 Experimental considerations for differential gene expression.mp4 (205.9 MB)
    • 008 Experimental considerations for differential gene expression_en.vtt (8.8 KB)
    • 009 Statistical considerations for differential gene expression.mp4 (108.8 MB)
    • 009 Statistical considerations for differential gene expression_en.vtt (9.1 KB)
    • 010 Spreadsheet qPCR analysis_ preserving variability of expression.mp4 (13.5 MB)
    • 010 Spreadsheet qPCR analysis_ preserving variability of expression_en.vtt (5.8 KB)
    • 011 Data analysis in RStudio.mp4 (54.2 MB)
    • 011 Data analysis in RStudio_en.vtt (17.0 KB)
    • 012 Getting ready for your next quiz_ dat package deprecation and functions.html (4.9 KB)
    • 013 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q1.html (1.4 KB)
    • 014 Part 2 - Q1 Walkthrough.mp4 (65.6 MB)
    • 014 Part 2 - Q1 Walkthrough_en.vtt (14.2 KB)
    • 015 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q2.html (0.6 KB)
    • 016 Part 2 - Q2 walkthrough.mp4 (11.6 MB)
    • 016 Part 2 - Q2 walkthrough_en.vtt (2.8 KB)
    • 017 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q3.html (1.2 KB)
    • 018 Part 2 - Q3 walkthrough.mp4 (32.4 MB)
    • 018 Part 2 - Q3 walkthrough_en.vtt (9.6 KB)
    • 019 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q4.html (0.6 KB)
    • 020 Part 2 - Q4 walkthrough.mp4 (22.9 MB)
    • 020 Part 2 - Q4 walkthrough_en.vtt (7.3 KB)
    • 23053306-I.csv (0.8 KB)
    • 23122006-II.csv (0.8 KB)
    • 23122890-III.csv (1.1 KB)
    • 23129856-IV.csv (1.5 KB)
    • 23132060-I.R.txt (1.1 KB)
    • 23132068-II.R.txt (1.1 KB)
    • 23132080-III.R.txt (2.0 KB)
    • 23132090-IV.R.txt (2.4 KB)
    • external-assets-links.txt (0.1 KB)
    05 - A deep dive into RNAseq and analysis methods
    • 001 Intro to RNAseq.mp4 (44.3 MB)
    • 001 Intro to RNAseq_en.vtt (8.8 KB)
    • 002 Analytical advantages of RNAseq and overview of RNAseq analysis pipeline.mp4 (41.8 MB)
    • 002 Analytical advantages of RNAseq and overview of RNAseq analysis pipeline_en.vtt (10.7 KB)
    • 003 RNAseq analysis pipeline.mp4 (20.5 MB)
    • 003 RNAseq analysis pipeline_en.vtt (6.6 KB)
    • 004 FastQC_ assessing the quality of sequencing library.mp4 (36.9 MB)

Description

Differential Gene Expression Analysis - Your Complete A to Z



https://TutGator.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.50 GB | Duration: 8h 5m
Become a bioinformatic analysis master: qPCR, RNAseq, Functional Genomics, Transcriptomics, R, RStudio, TUXEDO pipeline
What you'll learn
You'll be able to apply the knowledge of molecular biology to solve problems in differential gene expression analysis specifically, and bioinfomatics generally
You'll be able to undertake an end-to-end RNAseq analysis pipeline in R
You'll be able to do a qPCR analysis in R
You'll be able to do a pathway analysis
You'll be able to design bioinformatic experiments and do data interpretation
You'll get a solid foundation on techniques used in bioinformatics
You'll learn statistical models and methods used in differential gene expression

Requirements
Understanding of basic molecular biology terms such as DNA, RNA, gene and protein is going to be helpful in this course
Familiarity with R programming and UNIX-like terminal command line is advantageous but not necessary as it'll be covered
Being open-minded and ready to learn!
Description
Do you want to be a bioinformatician but don't know what it entails? Or perhaps you're struggling with biological data analysis problems? Are you confused amongst the biological, medicals, statistical and analytical terms? Do you want to be an expert in this field and be able to design biological experiments, appropriately apply the concepts and do a complete end-to-end analysis?

This is a comprehensive and all-in-one-place course that will teach you differential gene expression analysis with focus on next-generation sequencing, RNAseq and quantitative PCR (qPCR)

In this course we'll learn together one of the most popular sub-specialities in bioinformatics: differential gene expression analysis. By the end of this course you'll be able to undertake both RNAseq and qPCR based differential gene expression analysis, independently and by yourself, in R programming language. The RNAseq section of the course is the most comprehensive and includes everything you need to have the skills required to take FASTQ library of next-generation sequencing reads and end up with complete differential expression analysis. Although the course focuses on R as a biological analysis environment of choice, you'll also have the opportunity not only to learn about UNIX terminal based TUXEDO pipeline, but also online tools. Moreover you'll become well grounded in the statistical and modelling methods so you can explain and use them effectively to address bioinformatic differential gene expression analysis problems. The course has been made such that you can get a blend of hands-on analysis and experimental design experience - the practical side will allow you to do your analysis, while theoretical side will help you face unexpected problems.



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Udemy - Differential Gene Expression Analysis - Your Complete A to Z


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