HOW TO PERFORM GSEA - A tutorial on gene set enrichment analysis for RNA-seq

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  • čas přidán 24. 06. 2024
  • In this tutorial, we explain what gene set enrichment analysis (GSEA) is and what it offers you. We show you how to run the analysis on your computer and take you through how to interpret the outputs. The tutorial also covers leading edge analysis and analysis of gene networks with Cytoscape.
    *** Editors note: If you are having trouble loading your gct file, you should save it as .gct.txt rather than just .txt
    The timestamps for the following sections are:
    0:09 What is GSEA?
    9:09 What software do I need?
    9:55 What input files do I need to create?
    14:12 What gene set files are available?
    19:04 How do I use GSEA software?
    35:57 What is leading edge analysis?
    40:05 Visualising enriched gene sets as a network
    GSEA website (download free software here)
    www.gsea-msigdb.org/gsea/inde...
    GSEA User Guide
    www.gsea-msigdb.org/gsea/doc/...
    The Gene Set Database
    www.gsea-msigdb.org/gsea/msig...
    Cytoscape network analysis software
    cytoscape.org/
    This tutorial on GSEA is brought to you by Dr Katherine West in the College of Medical Veterinary and Life Sciences at the University of Glasgow, Scotland. Look out for our other videos in this tutorial series that will help you get the most out of your gene expression analysis.
    We hope you found this video useful. Please support us by liking the video and consider subscribing for more informative content. Leave us a comment if you thought this video was helpful or if there is further information you would like to share with us and the community. Thank you.
    www.gla.ac.uk/people/katherin...
    / genomicsgurus
    / genomicsgurus
  • Věda a technologie

Komentáře • 323

  • @acastanza
    @acastanza Před 4 lety +56

    This was really a really well done, in depth walkthrough of GSEA!

  • @Damirit
    @Damirit Před 2 lety +3

    Absolutely invaluable tutorial! Thank you for creating this!

  • @mohammedimrankhan552
    @mohammedimrankhan552 Před 2 lety +7

    The tutorial was amazing and easy to follow. Well done and looking forward to future videos.

  • @berrydp
    @berrydp Před rokem +1

    Excellent tutorial! Thank you very much! Would love to see more like this!

  • @xuzhiwen8298
    @xuzhiwen8298 Před rokem +1

    Super helpful and clear tutorial! I appreciate you saved me a lot time to figure out how to do such analysis!

  • @khwankhaosaisingha2093
    @khwankhaosaisingha2093 Před rokem +1

    Can't thank you enough for such an invaluable video!

  • @user-cm6fw4we4p
    @user-cm6fw4we4p Před rokem +1

    what a wonderful course! I do watched several before this one, this is the best!!!

  • @soniaselicean3651
    @soniaselicean3651 Před 3 lety +2

    Thank you, this was a great tutorial! I was struggling with multiple errors before, but now everything runs smoothly. Good job :)

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Great! Glad it helped you sort things out :)

  • @facufiocca6591
    @facufiocca6591 Před 4 lety +5

    Thanks for such a great tutorial! I've been struggling a little to analyze my RNAseq data, but I hope with this info I'll be able to do it.

  • @allisonk.miller6031
    @allisonk.miller6031 Před 2 lety +2

    Thank you! This was a great introduction to GSEA. I found it extremely helpful. I wish they did more tutorial like this for other software!

  • @saeidehmaleki2020
    @saeidehmaleki2020 Před 2 lety +1

    Thanks so much again for helping me with fixing my files. That was a huge support.

  • @mohsennafshar
    @mohsennafshar Před 3 lety +6

    Thank you for this helpful tutorial! I like how you explained all the output metrics in detail. I had zero encounters with RNA seq data analysis and within a few hours, I managed to compare my gene sets of interest in my experimental groups.

  • @analiasoledad6999
    @analiasoledad6999 Před 11 měsíci +2

    This video is amazing, so far my favorite. Really clear and straightforward, I truly appreciate it! Great job! many thanks :)

  • @Dr-Tijani
    @Dr-Tijani Před rokem

    Great Introduction to GSEA, Thank you very much

  • @SNAKE1375
    @SNAKE1375 Před 3 lety +3

    It was about time that I was searching for a "real" GSEA tutorial. Thanks very much!

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Hope you get some useful information from it!

  • @TheKhemrajthakur
    @TheKhemrajthakur Před 3 lety +1

    Such a wonderful and informative Illustration of GSEA. Thank you so much.

  • @whoribund
    @whoribund Před 2 lety +2

    Awesome! This was extremely well done. I am a novice at NGS analysis and found this very understandable and helpful.

  • @solomonoguche2360
    @solomonoguche2360 Před 3 lety +1

    Great video. Clear and easy to follow tutorial. Great job Doctor!

  • @CY1RG
    @CY1RG Před 3 lety +1

    Thank you so much for the detailed tutorial. Its alot easier to understand than the user guide which misses out details on the input and ranking.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +2

      Glad it's helpful. Hope you get some useful results!

  • @user-ch3gs7el5k
    @user-ch3gs7el5k Před 3 lety

    Thank you so much for the detailed tutorial!! Love it!

  • @agnihotrinitin
    @agnihotrinitin Před rokem +1

    Extremely helpful. Thank you very much.

  • @AmarReddy-marpadga
    @AmarReddy-marpadga Před 2 lety

    Clear and highly helpful tutorial.

  • @kangalsvids9582
    @kangalsvids9582 Před 4 lety +2

    this is Brilliant! a thousand thank you!

  • @romanatorx3949
    @romanatorx3949 Před 3 lety +1

    Amazing tutorial! Thank you very much!

  • @Mo-ix4ov
    @Mo-ix4ov Před 3 lety +1

    Very nicely done. Thank you for making this video.

  • @xuegao1116
    @xuegao1116 Před 3 lety +1

    Great tutorial, many thanks, Dr. Katherine West.

  • @Puppy_king
    @Puppy_king Před 3 lety +1

    It's a very very very good tutorial to introduce GSEA!!

  • @luyang487
    @luyang487 Před 2 lety +1

    Thank your so much for making the tutorial. It is really helpful.

  • @yuelei9078
    @yuelei9078 Před 2 lety +1

    Thanks for sharing. Very helpful!

  • @mortezahadizadeh9637
    @mortezahadizadeh9637 Před 4 lety +1

    Thank you for sharing your wisdom with us.

  • @jezsacpg2517
    @jezsacpg2517 Před 3 lety +1

    Indeed very useful and well explained. Thank you!

  • @EpsteinBV
    @EpsteinBV Před 2 lety +1

    this is gold. thank you very much

  • @nassimafodil7097
    @nassimafodil7097 Před 3 lety +1

    Amazingly well done , Thank you !

  • @pereeia9048
    @pereeia9048 Před rokem

    Thanks, this tutorial's really helpful for my work!

  • @luyanliu1496
    @luyanliu1496 Před 2 lety +1

    Very nice tutorial. Thanks!

  • @iketutgunarta760
    @iketutgunarta760 Před 3 lety

    Very great explanation, thank god you made this video!!

  • @martonszabo8804
    @martonszabo8804 Před 3 lety +2

    Nice and detailed presentation, fully understandable. I really loved this GSEA tutorial/introduction. +1 subscriber

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Thanks for your kind feedback. Glad you found it useful

  • @aaakashable
    @aaakashable Před 11 měsíci +1

    Excellent talk Katherine

  • @hermanymv
    @hermanymv Před rokem +1

    Excellent, thank you!

  • @stefisjustthebest
    @stefisjustthebest Před rokem +1

    Thank you very much for this very useful!

  • @realndongocongo
    @realndongocongo Před 2 lety +1

    Amazing tutorial! Congrats!

  • @jyotsnathakur1048
    @jyotsnathakur1048 Před 3 lety +1

    Really great tutorial... Alot of info worth the time 😍

  • @amrsalaheldinabdallahhammo663

    Thank you so much, its enriched and fruitful video, thanks genius :)

  • @gioiaheravi7105
    @gioiaheravi7105 Před 2 lety +1

    This was a very helpful tutorial, Thank you.

  • @mingeumjeong4910
    @mingeumjeong4910 Před 3 lety +1

    A great tutorial! Thank you so much it is really helpful :)

  • @chumawinnerobiora7749
    @chumawinnerobiora7749 Před 3 lety +1

    Thank you. That was concise and wonderfully analyzed .
    Meanwhile your British accent is super!

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Thanks for your kind feedback. Glad you found it useful!

  • @user-syvrdeewu
    @user-syvrdeewu Před 2 lety +1

    This really helped me. Thanks.

  • @hanifullah1088
    @hanifullah1088 Před 2 lety +1

    Woww great all concepts are cleared now

  • @arielsimon5203
    @arielsimon5203 Před 3 lety +1

    Amazing tutorial! thank you!

  • @itscoldhere7618
    @itscoldhere7618 Před 6 měsíci +1

    So much help. Thank you.

  • @maikelanthonissen1724
    @maikelanthonissen1724 Před 3 lety +1

    Amazing video, thanks!

  • @javadharati6665
    @javadharati6665 Před 3 lety +1

    Useful presentation. Thanks

  • @blackV199
    @blackV199 Před 2 lety

    I have a note about what you said at 3:33
    The genes are ranked based on their P. Value and fold change, so saying based on counts isn't entirely true.
    Thank you so much for the video it's really helpful.

  • @kamariahibrahim
    @kamariahibrahim Před 2 lety +1

    Thank you so much!

  • @rogerioferreira4325
    @rogerioferreira4325 Před 3 lety +1

    Great class!!!

  • @sambay7524
    @sambay7524 Před 3 lety +1

    Brilliant ! Big thank :)

  • @xscapintime1366
    @xscapintime1366 Před 3 lety +1

    really help me out! many thanks!

  • @Bee-zp5vo
    @Bee-zp5vo Před 10 měsíci

    A great help. Thankyou mam

  • @nwislamicschool
    @nwislamicschool Před 3 lety +5

    An excellent presentation and made GSEA understand quickly. I recommended this to my colleagues and co-researchers- Very well done.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Glad you found it helpful!

    • @scienceforus8669
      @scienceforus8669 Před 3 lety +1

      @@GenomicsGurus Madam, please le me know how to generate heat maps with this software. Please let me know what options should be used. Thank you.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Hi Magaraju-India, heatmaps are included in the outputs, but they don't show all the genes. This is a better tool if you just want heatmaps: www.heatmapper.ca/

    • @scienceforus8669
      @scienceforus8669 Před 3 lety

      @@GenomicsGurus Madam, I would like to have an output represented at 32min:49 sec to 33min.30 sec of your video. Please let me know the process with options. Thank you.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Hi, you don't have to select any options -the heat maps appear automatically underneath the first table. However, sometimes they don't display as it depends on the html file being able to access the image file eg I had trouble when I saved the output to an online location (one drive) and this was solved when I saved the outputs to my c drive. If they still don't load up, the heat maps are saved as individual pictures in the folder where you save the output, so go to your file manager, find the folder, and view them from there.

  • @jeanniedevereaux5857
    @jeanniedevereaux5857 Před 3 lety +1

    Thank you, this is very clear

  • @vigneshwaranvenkatesan230

    I literally didnt like anlaysing the RNAseq data for my project samples for the past 1 year. After seeing your video, it was eye-opening.

  • @navyanandhanaofficial
    @navyanandhanaofficial Před 3 lety

    Good talk.. appreciate your efforts to help

  • @hassanyousefi1991
    @hassanyousefi1991 Před 3 lety +1

    very helpful, thanks!

  • @oscaramadori5733
    @oscaramadori5733 Před 2 lety +10

    Just leaving a comment hopefully for people that are trying to use it recently.
    The Expression Dataset File by default is no longer like that: just remove the first 2 rows (starting with the row: Name "tab" Description "tab" ...)
    I did that and everything run smoothly! You can also see it as the last example in the user guide web page
    (did they change the default standard?)

    • @Stop-and-listen
      @Stop-and-listen Před rokem +1

      It would be great if example files were available to learn from, including the changes you indicated.

  • @ve1803
    @ve1803 Před 3 lety

    Good stuff, thanks!

  • @KevinT
    @KevinT Před 3 lety +1

    Great video!

  • @mikelee520
    @mikelee520 Před 4 lety +1

    Nice video, very useful!

    • @GenomicsGurus
      @GenomicsGurus  Před 4 lety

      Many thanks Furong. Pleased you found it useful!

  • @worldofinformation815
    @worldofinformation815 Před 3 lety +1

    Thank you so much, well done 🌹✨✔👌

  • @sakshitewari5315
    @sakshitewari5315 Před rokem

    THANK YOU!!!!

  • @veerasvlogs165
    @veerasvlogs165 Před 3 lety +1

    Nice Presentation 👍 Crystal Clear explanations Thanks a lot 😊, Would be Great to learn about time course analysis also!

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Thanks for your feedback. We're pleased that you found it useful. There are more videos on this topic to follow so subscribe and look out for them 😀

  • @pabloh8727
    @pabloh8727 Před 3 lety +7

    There is a mistake in the explanation. Do not add the #1.2 plus number of genes and columns in the file when saving as TXT, it only works when using GCT.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Oh, that's good to know - thanks very much much!

    • @lealemler2967
      @lealemler2967 Před 2 lety +2

      Very important comment. When I removed genes and columns it works with TXT file.

  • @s0n1c88
    @s0n1c88 Před rokem

    I have a wish 🙏 god, please let her return to youtube to make her awesome videos 🙏 Amen 🙏 Love from Turkey My Teacher 🙏

  • @sheng-chiehhsu1746
    @sheng-chiehhsu1746 Před 2 lety +1

    This video is really helpful. I learned a lot from it. I was wondering do you have an example for time series analysis. Since the GSEA website doesn't talk too much about it, I have no idea to start the time series analysis.

  • @anilkumarram7731
    @anilkumarram7731 Před rokem

    Great

  • @noorpk
    @noorpk Před 4 lety +1

    Thank you

  • @federicoalessandroruffinat2798

    Thank you Dr. West! Good job, great tutorial. I even liked your warm voice and your accent... it sounds like you are American, but maybe it is the Scottish accent... I've never been in Scotland, I couldn't say.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      I'm glad you found the tutorial useful! I think my accent is mainly Scottish, but there's probably a twinge of the eastern USA and north west England as well ;)

  • @worknehkormahirgo6321
    @worknehkormahirgo6321 Před 3 lety +1

    Thank you, was helpful to understand and perform GSEA. I would like you to cover network construction between miRNA-mRNA expression profiles using Cytoscape

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Glad you found it useful. We hope to cover Cytoscape when we get some time!

  • @User-hs5vl
    @User-hs5vl Před rokem

    comfortable voice

  • @amirroointan6887
    @amirroointan6887 Před 3 lety +1

    Thanks a lot

  • @pedramyadollahi9611
    @pedramyadollahi9611 Před 3 lety +1

    An excellent tutorial and easy to follow. Thank you so much. Can you please give a tutorial on EaSeq open source software too ?

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Thanks Pedram. Glad you found it useful. We will be covering ChIP-seq soon

    • @pedramyadollahi9611
      @pedramyadollahi9611 Před 3 lety +1

      @@GenomicsGurus Thank you, it would be great to see the integrative analysis of RNA-Seq and Chip-Seq. EaSeq would be a good option for such a analysis but unfortunately I am not an expert in bioinformatics field.

  • @FarahRSS
    @FarahRSS Před 2 lety +1

    Amazing tutorial.
    My question is, if i have RNA-seq results giving different expressed genes for different cell lines and I want to compare in order to check for example which cell line expresses genes (significant upregulated enrichment) associated with angiogenesis. In this case, in my expression dataset file, the first column would include ENS id's for these genes, but I have sometimes completely different genes in different cell lines (with 3 samples per cell line), so what is the appropriate way to organize this data?

  • @bikramsahoo5938
    @bikramsahoo5938 Před 2 lety +1

    Thanks for this tutorial….
    Could you please make a video on Cytoscap??

    • @GenomicsGurus
      @GenomicsGurus  Před 2 lety

      Glad it was helpful. Cytoscape is on our list

  • @harishbharambe7880
    @harishbharambe7880 Před 3 lety +1

    Hi Katherine...........excellent explanation of GSEA for beginners..........
    Can you please cover using ClueGo plugin in Cytoscape for building PPI maps..........

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Thanks Harish. We hope to cover Cytoscape in future

  • @diyaaashour1837
    @diyaaashour1837 Před 3 lety +1

    Great video! Thanks a lot for the explanation. I was wondering if you know how to use a continuous phenotype label for a time course actually. I tried following the user guide for that but I couldn't really do it. Thanks :)

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      I've not tried it myself, but it doesn't look too complicated. There are lots of ways to make mistakes with these input files, though, as my students will testify! If you want to email your files to me, I can have a look at them.....katherine.west at glasgow.ac.uk

  • @justinlee1195
    @justinlee1195 Před 3 lety +1

    Thank you, Dr. West, for such a great tutorial!! Is there any way to see the actual FDR value if its at 0.000? Thank you for your help.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +2

      Hi Justin, If you click on the "details" link for a particular enriched geneset, you will get the scores and p values to more decimal places. However, if the P or FDR value was 0 in the first place, it often doesn't give you any more information - sorry!

  • @calintimbus7876
    @calintimbus7876 Před 3 lety +1

    Hello, thanks for the awesome tutorial.
    Is there any way to get in touch with some mock/similar data to the one you used?
    I am asking since it could be some time until I get my hands on proper .cls and .gct and I want to use the software and follow the tutorial exactly like you do?

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Thanks Calin. Email me and we can arrange something. The address can be found in the About section on our channel homepage

  • @blauhimmelsky
    @blauhimmelsky Před 3 lety

    Thank you Dr. West for the clear and thorough tutorial. I just have one question: is it possible to do GSEA on the interaction term as in DESeq2 design formula? Thank you again.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      You can do GSEA on any list of genes that have a ranking "score" associated with them. It's most powerful when you are looking at a long list of genes that have small changes that don't all cross a significance threshold - otherwise you could just filter your list and use gene ontology analysis to find out what the significantly changed genes have in common. I'm not familiar with the output of the Deseq2 interaction term - just make sure that your list of genes and the score you choose to use is biologically meaningful.

  • @enriquep4857
    @enriquep4857 Před 2 lety +1

    Thank you very much for your tutorial. I have one question: Have you previously filtered the expression data? I mean, for example, applying a given Fold Change and filtering it by P-value.

    • @GenomicsGurus
      @GenomicsGurus  Před 2 lety +2

      Sorry for the slow reply. No, for GSEA you should use the whole data set, do not filter it.

  • @hopeoliver4580
    @hopeoliver4580 Před 3 lety +1

    Thank you for this informative tutorial! I would like to analyze Nanostring gene expression data (800 genes) using this GSEA software, but since these 800 genes are all immune-related, they are 'pre-enriched' and I assume this would bias the GSEA. On this software, is there any way to correct for this i.e. curate a custom a background list? Thanks so much for your help!

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      You can use the search function on the website to pull out specific gene sets, and you can also create your own in excel eg based on papers that show expression of certain genes in certain conditions. You need to think carefully about what question you want to ask and what you expect the data to show you. For example, if you want to look at specific subsets of immune-related genes eg pro-inflammatory cytokines, I guess GSEA would then show you whether these are particularly enriched near the start of end of your ranked gene list. You could also think about gene ontology analysis (see my video on toppgene) or pathway analysis - see my video on DAVID, or try the Reactome app within the cytoscape software.

  • @meltemtutar4673
    @meltemtutar4673 Před 6 měsíci

    Hi, thanks for the tutorial. I had some trouble downloading the GSEA software so I ended up using the GenePattern UI. Is there any downside to using this website instead of the GSEA desktop application? Thanks

  • @jyotsnapriyam3972
    @jyotsnapriyam3972 Před 2 lety

    i have a question after going through your video...that whether i need to remove normal samples expression values or not (from my own dataset) while comparing with hallmark gene sets...i have to compare between high expression and low expression of a set of genes..please reply

  • @luiseduardogoncalves2228
    @luiseduardogoncalves2228 Před 3 lety +1

    Thank you so much for your tutorial! In case I don't have the gene ID, just the gene symbol, how can I find their respective ID?

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      You shouldn't need the gene ID - choose a gene symbol chip platform instead of a gene ID chip platform when running GSEA. The long answer to your question is that you can download a file from ensembl that lists gene ID and gene symbols, and you can use vlookup in excel to look up IDs for known gene symbols and vice versa.

  • @joan_serrano
    @joan_serrano Před 2 lety +1

    This content is a treasure. Thank you so much Dr. West.
    Just in case someone reads my comment: I have doubts about which values I need to put in the Expression data set file (10:37). I just have two groups and I have the "Raw comparison" values and other corrected values such as reads per kilobase per million (RPKM) and Transcripts Per Kilobase Million (TPM). Which one should I use?
    Another question: My data comes from a RNA-seq analysis of Mus musculus cells. Which Chip platform (23:40) should I choose?
    Many thanks! : )

    • @GenomicsGurus
      @GenomicsGurus  Před 2 lety +1

      Hi Joan, sorry for the slow reply. TPM is probably the best dataset to use. Your genes are probably named as ensemble gene IDs (ENSMUSGXxxx) so "mouse ensembl gene ID human orthologs" with the latest number would be the right chip platform to use.

    • @joan_serrano
      @joan_serrano Před 2 lety +1

      @@GenomicsGurus Many Many thanks! : )

  • @sumitpaliwal1540
    @sumitpaliwal1540 Před 3 lety +1

    Thanks a lot. Wonderful presentation. Can you do one on Preranked GSEA?

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Glad you found it useful. I'm not sure when I'll get the time to do one on pre-ranked GSEA. Is that something you want to try? There's only a couple of things that are different, I think - I can write them down for you.

    • @sumitpaliwal1540
      @sumitpaliwal1540 Před 3 lety

      @@GenomicsGurus Yes. I have tried it a few times without success. The major issue is preparing a Preranked list .

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      ​@@sumitpaliwal1540 This is the link describing the rnk format your file needs to be in: software.broadinstitute.org/cancer/software/gsea/wiki/index.php/Data_formats#RNK:_Ranked_list_file_format_.28.2A.rnk.29
      This method doesn't tolerate duplicate gene names in your list, though, which is a problem when I use Ensemble IDs, as each gene may have several different Ensemble gene IDs. If you are using Ensemble IDs I suggest you convert to gene symbols first, then sort by name (in excel) to identify any duplicates which you can then remove. If you're still having trouble, email me: katherine.west at glasgow.ac.uk and I'll have a look at your file

    • @sumitpaliwal1540
      @sumitpaliwal1540 Před 3 lety

      @@GenomicsGurus I do not have any duplicates in the list. The error I get is "After pruning, none of the gene sets passed size threshold". I can send you the screenshot and the file.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety

      Ok, send the file and screenshot and I'll have a look.

  • @pungavaD
    @pungavaD Před 3 lety +1

    I need to add one important point here is that the file format of the expression data mentioned here should have a .gct extension. It shouldn't be a .txt extension.
    tab-delimited file doesn't take the the two rows at the top

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      Thanks for the feedback. This issue has come up already and is mentioned in the video description

  • @BeatrizDelapuente
    @BeatrizDelapuente Před rokem +1

    Firstly, thank you for the tutorial, I have found it really helpful.
    I have a question regarding to what can be concluded from the enrichment. I have performed a preranked method and the results showed an enrichment in the pathway, however one of the genes that is highly expressed has an inhibitory function in the pathway. So my question is if the ES shows only the enrichment of the genes (either activators or inhibitors) or also the directionality of the pathway.
    Thank you in advance.

    • @chiranjitdas3959
      @chiranjitdas3959 Před rokem

      Think it only tells you about the pathway in general and not on the individual genes in the pathway. In case you want to know about the directionality for individual genes, probably you would have to check your individual genes and the fold change for that gene from your DE table.

  • @oneminuteasmr6486
    @oneminuteasmr6486 Před 3 lety +2

    I'm doing my RNA Seq data analysis, and I've got the differentially expressed genes in an excel sheet. I would like to do pathway analysis to see which pathways are differentially regulated now. I don't know how to do that, I hope this tutorial helps me! Thanks!

  • @ayanchatterjee83
    @ayanchatterjee83 Před 3 lety +1

    Excellent tutorial and this made my concepts so clear. Just wondering if I can use GSEA for RNA seq analysis of any other organism. I am struggling with some Mycobacterium tuberculosis RNA seq data and could not find the GMT files for it. Is there any database from where I can download the GMT files for Mycobacterium tuberculosis.

    • @GenomicsGurus
      @GenomicsGurus  Před 3 lety +1

      I'm not sure if there are M. tuberculosis databases out there, but it's easy enough to make your own GMT files - it's just a list of gene IDs with a couple of rows at the top. You can download any current GMT file to see the format. I suggest you use the literature to find the genes associated with the pathway/phenotype you are interested in and make your own list. Good luck!

    • @ayanchatterjee83
      @ayanchatterjee83 Před 3 lety +1

      @@GenomicsGurus Thanks

  • @ASturkgal
    @ASturkgal Před rokem

    How do you save the phenotype groups as a cls file? There doesn't seem to be an option to save files in this format on excel??

  • @diedebroekaart3511
    @diedebroekaart3511 Před 2 lety

    Great video, thank you so much! Could you explain how you created the .cls file? On Windows Excel doesn't have the option to save as .cls. Is there a way to convert my tab-delimited text file to a .cls file?

    • @GenomicsGurus
      @GenomicsGurus  Před 2 lety

      Just type .cls at the end of your file name and save as tab delimited text. excel will add .txt on the end, but it should work fine.