| 001 Biology for differential gene expression analysis - introduction.mp4 | 11.7 MB | ||
| 001 Biology for differential gene expression analysis - introduction_en.vtt | 1 KB | ||
| 001 Capstone project.mp4 | 4.7 MB | ||
| 001 Capstone project_en.vtt | 1.1 KB | ||
| 001 First things first - RStudio installation.mp4 | 19.3 MB | ||
| 001 First things first - RStudio installation_en.vtt | 3.6 KB | ||
| 001 Intro to RNAseq.mp4 | 44.3 MB | ||
| 001 Intro to RNAseq_en.vtt | 8.8 KB | ||
| 001 Lab techniques for differential gene expression analysis - intro.mp4 | 6.3 MB | ||
| 001 Lab techniques for differential gene expression analysis - intro_en.vtt | 512 B | ||
| 001 Pathway analysis - ORA + GSEA approaches.mp4 | 232.6 MB | ||
| 001 Pathway analysis - ORA + GSEA approaches_en.vtt | 18.4 KB | ||
| 001 Visualization of gene expression data.mp4 | 182.8 MB | ||
| 001 Visualization of gene expression data_en.vtt | 19.3 KB | ||
| 001 Welcome to the course_.mp4 | 71.1 MB | ||
| 001 Welcome to the course__en.vtt | 3.3 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 | ||
| 002 Capstone project materials.html | 3.1 KB | ||
| 002 Course structure, aims and objectives.mp4 | 40.9 MB | ||
| 002 Course structure, aims and objectives_en.vtt | 3.3 KB | ||
| 002 Differential gene expression - fundamentals.mp4 | 57.2 MB | ||
| 002 Differential gene expression - fundamentals_en.vtt | 5.9 KB | ||
| 002 Hands on ORA-based pathway analysis.html | 1.2 KB | ||
| 002 Sequencing.mp4 | 11.4 MB | ||
| 002 Sequencing_en.vtt | 1.1 KB | ||
| 002 Using Venny for venn diagram analysis.html | 1.1 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 Hands on GSEA-based pathway analysis.html | 614.4 B | ||
| 003 Learn to visualize gene expression data in R.html | 6.7 KB | ||
| 003 Overview of gene expression.mp4 | 116.5 MB | ||
| 003 Overview of gene expression_en.vtt | 9.2 KB | ||
| 003 PCR.mp4 | 27.7 MB | ||
| 003 PCR_en.vtt | 2.4 KB | ||
| 003 RNAseq analysis pipeline.mp4 | 20.5 MB | ||
| 003 RNAseq analysis pipeline_en.vtt | 6.6 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 | ||
| 003 Your first bioinformatic challenge_.mp4 | 4 MB | ||
| 003 Your first bioinformatic challenge__en.vtt | 819.2 B | ||
| 004 FastQC_ assessing the quality of sequencing library.mp4 | 36.9 MB | ||
| 004 FastQC_ assessing the quality of sequencing library_en.vtt | 9.4 KB | ||
| 004 Measuring gene expression with qPCR.mp4 | 94.3 MB | ||
| 004 Measuring gene expression with qPCR_en.vtt | 6.4 KB | ||
| 004 Quiz 1 file - an explanation.mp4 | 20.7 MB | ||
| 004 Quiz 1 file - an explanation_en.vtt | 921.6 B | ||
| 004 Sanger sequencing.mp4 | 11.3 MB | ||
| 004 Sanger sequencing_en.vtt | 3.8 KB | ||
| 004 Translation of genetic code - theory.mp4 | 15.6 MB | ||
| 004 Translation of genetic code - theory_en.vtt | 5.9 KB | ||
| 004 Using pathway analysis in hypothesis-free studies.mp4 | 17.9 MB | ||
| 004 Using pathway analysis in hypothesis-free studies_en.vtt | 4 KB | ||
| 004 Visualization of gene expression data hands on exercise.html | 1 KB | ||
| 005 Next generation sequencing.mp4 | 12.5 MB | ||
| 005 Next generation sequencing_en.vtt | 4.4 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 | ||
| 005 Translation of genetic code - practice.mp4 | 17.6 MB | ||
| 005 Translation of genetic code - practice_en.vtt | 5.7 KB | ||
| 005 Your FastQC exercise.html | 921.6 B | ||
| 005 qPCR quantification of gene expression.mp4 | 145.4 MB | ||
| 005 qPCR quantification of gene expression_en.vtt | 15.9 KB | ||
| 006 FastQC exercise walkthrough.mp4 | 8.7 MB | ||
| 006 FastQC exercise walkthrough_en.vtt | 1.9 KB | ||
| 006 Microarrays.mp4 | 39.8 MB | ||
| 006 Microarrays_en.vtt | 3.2 KB | ||
| 006 Open Reading Frame translation walk-through.mp4 | 7 MB | ||
| 006 Open Reading Frame translation walk-through_en.vtt | 2.6 KB | ||
| 006 qPCR quiz - part 1 - intro.mp4 | 4.9 MB | ||
| 006 qPCR quiz - part 1 - intro_en.vtt | 1.2 KB | ||
| 007 Alignment (TUXEDO).mp4 | 29.8 MB | ||
| 007 Alignment (TUXEDO)_en.vtt | 9.9 KB | ||
| 007 Gene structure and splicing.mp4 | 19.2 MB | ||
| 007 Gene structure and splicing_en.vtt | 6 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 | 512 B | ||
| 007 qPCR quiz walkthrough - part 1.mp4 | 14.3 MB | ||
| 007 qPCR quiz walkthrough - part 1_en.vtt | 6.3 KB | ||
| 008 Alignment (Rsubread).mp4 | 116.3 MB | ||
| 008 Alignment (Rsubread)_en.vtt | 15.4 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 | 716.8 B | ||
| 008 Experimental considerations for differential gene expression.mp4 | 205.9 MB | ||
| 008 Experimental considerations for differential gene expression_en.vtt | 8.8 KB | ||
| 009 Rsubread alignment_ stringent vs. less stringent alignment criteria.html | 1.2 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 | ||
| 010 Strict and less strict alignment walkthrough.mp4 | 21.6 MB | ||
| 010 Strict and less strict alignment walkthrough_en.vtt | 5.5 KB | ||
| 011 Data analysis in RStudio.mp4 | 54.2 MB | ||
| 011 Data analysis in RStudio_en.vtt | 17 KB | ||
| 011 Strict and less strict alignment quiz walkthrough.mp4 | 26.8 MB | ||
| 011 Strict and less strict alignment quiz walkthrough_en.vtt | 8.9 KB | ||
| 012 Getting ready for your next quiz_ dat package deprecation and functions.html | 4.9 KB | ||
| 012 Transcriptome assembly (TUXEDO).mp4 | 48.5 MB | ||
| 012 Transcriptome assembly (TUXEDO)_en.vtt | 11.9 KB | ||
| 013 Installing Cuff-apps from TUXEDO toolkit.mp4 | 38.6 MB | ||
| 013 Installing Cuff-apps from TUXEDO toolkit_en.vtt | 5.3 KB | ||
| 013 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q1.html | 1.4 KB | ||
| 014 Comparing genome annotations with Cuffcompare.html | 716.8 B | ||
| 014 Part 2 - Q1 Walkthrough.mp4 | 65.6 MB | ||
| 014 Part 2 - Q1 Walkthrough_en.vtt | 14.2 KB | ||
| 015 Cuffcompare quiz walkthrough.mp4 | 93.7 MB | ||
| 015 Cuffcompare quiz walkthrough_en.vtt | 19.5 KB | ||
| 015 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q2.html | 614.4 B | ||
| 016 Part 2 - Q2 walkthrough.mp4 | 11.6 MB | ||
| 016 Part 2 - Q2 walkthrough_en.vtt | 2.8 KB | ||
| 016 Read counts and FPKM_RPKM.mp4 | 20.2 MB | ||
| 016 Read counts and FPKM_RPKM_en.vtt | 5.3 KB | ||
| 017 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q3.html | 1.2 KB | ||
| 017 Read counting (TUXEDO).mp4 | 22.5 MB | ||
| 017 Read counting (TUXEDO)_en.vtt | 4.3 KB | ||
| 018 Part 2 - Q3 walkthrough.mp4 | 32.4 MB | ||
| 018 Part 2 - Q3 walkthrough_en.vtt | 9.6 KB | ||
| 018 Read counts (Rsubread).html | 102.4 B | ||
| 019 Is the expression of this tumour suppressor affected by this drug_ - Part 2 - Q4.html | 614.4 B | ||
| 019 RPKM normalization (R).mp4 | 15.8 MB | ||
| 019 RPKM normalization (R)_en.vtt | 3.9 KB | ||
| 020 Convert read counts to RPKMs.html | 307.2 B | ||
| 020 Part 2 - Q4 walkthrough.mp4 | 22.9 MB | ||
| 020 Part 2 - Q4 walkthrough_en.vtt | 7.3 KB | ||
| 021 Quiz 18 - Code to get the answers walkthrough.html | 2.2 KB | ||
| 022 Differential gene expression (TUXEDO).mp4 | 10.3 MB | ||
| 022 Differential gene expression (TUXEDO)_en.vtt | 2.6 KB | ||
| 023 General Linear Models (GLMs) for differential gene expression analysis - part 1.mp4 | 182.9 MB | ||
| 023 General Linear Models (GLMs) for differential gene expression analysis - part 1_en.vtt | 14.3 KB | ||
| 024 GLMs for differential gene expression analysis - part 2.mp4 | 33.9 MB | ||
| 024 GLMs for differential gene expression analysis - part 2_en.vtt | 8.8 KB | ||
| 025 GLMs for differential gene expression analysis - part 3.mp4 | 10.8 MB | ||
| 025 GLMs for differential gene expression analysis - part 3_en.vtt | 3.9 KB | ||
| 026 GLMs for differential gene expression analysis - part 4.mp4 | 13.6 MB | ||
| 026 GLMs for differential gene expression analysis - part 4_en.vtt | 4.8 KB | ||
| 027 Design matrices for GLMs.mp4 | 11.4 MB | ||
| 027 Design matrices for GLMs_en.vtt | 4.1 KB | ||
| 028 Further read count processing for differential expression analysis.mp4 | 15.2 MB | ||
| 028 Further read count processing for differential expression analysis_en.vtt | 3.8 KB | ||
| 029 Differential expression (R's GLM)_ limma, edgeR.mp4 | 24.5 MB | ||
| 029 Differential expression (R's GLM)_ limma, edgeR_en.vtt | 7.6 KB | ||
| 030 Differential expression_ impact of filtering & normalization.html | 819.2 B | ||
| 031 Differential expression quiz walkthrough.mp4 | 21.1 MB | ||
| 031 Differential expression quiz walkthrough_en.vtt | 5.9 KB | ||
| 032 Differential expression_ RankProd.mp4 | 187.6 MB | ||
| 032 Differential expression_ RankProd_en.vtt | 16 KB | ||
| 033 Differential expression with RankProd in R.html | 4.3 KB | ||
| 034 RankProd Quiz walkthrough.mp4 | 32.5 MB | ||
| 034 RankProd Quiz walkthrough_en.vtt | 8.6 KB | ||
| 22397215-seq.fasta.txt | 18.7 KB | ||
| 23053306-I.csv | 819.2 B | ||
| 23122006-II.csv | 819.2 B | ||
| 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 KB | ||
| 23132090-IV.R.txt | 2.4 KB | ||
| 23327894-sequencing-sample.fastq.txt | 134.2 MB | ||
| 23404398-alignment.R.txt | 921.6 B | ||
| 23412554-hg19-chr1.fa.txt | 241.1 MB | ||
| 23414530-1.fastq.txt | 184.3 MB | ||
| 23715426-gene-lengths.csv | 473 KB | ||
| 23715442-raw-counts.csv | 424.1 KB | ||
| 24461546-gene-lengths.csv | 473 KB | ||
| 24461550-raw-counts.csv | 424.1 KB | ||
| 26430078-ORA.txt | 204.8 B | ||
| 26459340-Venny-exercise.csv | 77.6 KB | ||
| 26792492-d.csv | 2.6 MB | ||
| 26809904-capstone.csv | 7.2 MB | ||
| 28879892-RankProd-analysis-class.csv | 2.1 MB | ||
| 30949486-data.Rdata | 22.5 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| GSEA.rnk | 285.4 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| _GSEA.rnk | 204.8 B | ||
| _pred.gtf | 307.2 B | ||
| _ref.gtf | 307.2 B | ||
| external-assets-links.txt | 102.4 B | ||
| pred.gtf | 463.9 MB | ||
| ref.gtf | 465.1 MB | ||
| ▲ 181 total files | |||
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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