Anyone else have Chrome download issues for JR2730 and JR2731 R1 & R2? Sent an email to Minio regarding this. Resolved: Tried downloading on Edge and had no issues. Thx!
@diegobotto62454 ай бұрын
this is waaay to advanced for me
@rinnformatics56064 ай бұрын
I am sorry to hear that,, but I still think you can do it ! It will help a lot if you do all the previous lesson in Lv5 - if you already did maybe just stick to the counts tables that covers all the lessons except the one you mentioned ! Also the counts table to load are now ready for counts and TPM they are here: lncrna.io/teaching Enjoy John Rinn
@System351914 ай бұрын
How to deal with so many NAs to have less NA without compromising the integrity of information?
@rinnformatics56064 ай бұрын
It will be ok after the filtering and the NAs won't be a problem. I just wanted people to note and beaware that they are character values and not numeric etc....
@AtakanUnlu4 ай бұрын
How can I get this Rstudio theme?
@rinnformatics56064 ай бұрын
That Rstudio is the web version from POSIT but in R studio. However if you want to change yours to something similar you can go here in R studio Tools > Global Options > Appearance menu Enjoy ! John Rinn
@tomdielforder68335 ай бұрын
Hello, first of all - I am so thankful for this series as I am about to perform my very first RNA-seq experiments. In order to comprehensively analyze my own datasets later on, I would like to learn with your dataset first, to follow the workflow as shown. I also tried to find your datasets but was not able to. Is there any chance you could upload them elsewhere so not only CU Boulder students have access? Again, thank you so much for this series and making it publicly available! Kind regards from Germany, Tom
@rinnformatics56064 ай бұрын
The data is now available !! Short cut to final tables needed if you don't want to run pipeline are here (see below for all raw data): www.lncrna.io/teaching All raw files : rinnformatics.colorado.edu:9001/browser/rinn-public Enjoy ! John Rinn
@JimtheEvo6 ай бұрын
Thanks for this, showing the most important skill in bioinformatics. “Huh… why didn’t that work?”
@plushkipiano8 ай бұрын
Thank you god bless
@hamidkiangaikani9 ай бұрын
I'm starting this course today and I'm so psyched for it! I have a raw-data from both RNA-seq and MNase-seq and I really hope I can do the A-Z analysis by the end of this course (:
@San723907 ай бұрын
Hello, do you happen to have the data from the dox time course? I'm at level 4 of this class but I can't find this data. Thank you!
@hamidkiangaikani7 ай бұрын
@@San72390 Hi San, I'm afraid I don't. I analyzed my own RNA-seq data from yeast. If you check the older version of the course, I'm pretty sure John shows how to download from a data depository
@rinnformatics56064 ай бұрын
The data is now all set and ready to go for the 2025 course: If you don't want to run the RNAseq pipeline you can skip to level 5 and use these TPM and counts tables: lncrna.io/teaching or all the raw data is here : rinnformatics.colorado.edu:9001/browser/rinn-public Enjoy ! John Rinn
@rinnformatics56064 ай бұрын
YES and sorry for the delay all the data is now hosted on a public webserver (took longer than I had hoped). If you don't want to run the NF_CORE nextflow pipeline you can simply download the Counts table and TPM tables here: lncrna.io/teaching - click the link of counts table and Tpm table in red at top or if you want all the raw data to run the pipeline it's here: rinnformatics.colorado.edu:9001/browser/rinn-public All the classes through RNAseq and figure making will be upload shortly but most are now up and ready to run locally or on HPC Enjoy ! John Rinn
@krushnachChandra9 ай бұрын
you have new sub
@job5069 ай бұрын
Multiple thanks for this vital video. Could you kindly share your email address with me for further inquiries?
@rinnformatics56064 ай бұрын
Feel free to ask any questions in the comments - all questions are good questions and it may help others learn too !
@minhhao50319 ай бұрын
Thank you very verry much, Professor John Rinn and your lab members for spending your precious time making these valuable and informative lectures sharing them for free via KZbin for poor students like us. I am a third-year undergraduate student major in Biotechnology in Vietnam and I feel very lucky to find your lectures to learn about Bioinformatics. I wish you all the best, Professor and lab members!
@rinnformatics56064 ай бұрын
Thank you so much, I really appreciate that! For the 2025 class it is now ready to go (I will putting up the final videos over the next couple of days). All the raw data is now publically available (see below) and if you don't want to run nextflow on your local laptop you can now use a short cut by getting the Counts table and TPM tables that are the output of the pipeline here: lncrna.io/teaching All raw data files to run the pipeline are here: rinnformatics.colorado.edu:9001/browser/rinn-public Enjoy ! John Rinn
@theman3695110 ай бұрын
Love the new series. Thanks for the education.
@BilalAhmad-gb7ui10 ай бұрын
Could you please design a case study involving ATACSEQ, RNASEQ and their integration. Like taking a paper and reproducing the results. It would be kind of unique way as far as I have watched most of the youtube channels.
@rinnformatics560610 ай бұрын
Absolutely, that is a major goal of this course. We will start with RNAseq and then do ATACseq and integrate where ATAC sites opened and where gene -expression changed. Then we will repeat the whole thing in human stem cells for recursive learning. We will make figures and do a bunch of analyses - IMPORTANTLY the way we will construct this study and hopefully paper will be 100% reproducible from your GitHub ! This is a major undertaking and we are getting there - stay tuned and I wish I could do this faster, but we will get there !
@BilalAhmad-gb7ui10 ай бұрын
@@rinnformatics5606 I appreciate that 😊
@coolme772210 ай бұрын
Thanks a lot for this.
@danielalzategutierrez37510 ай бұрын
Hello! Thanks for the lesson. i tried to fond de raw data fastq files but is not possible. you can put any link to download this data to work locally? Thanks you for sharing your knowledge! Best regards!
@rinnformatics560610 ай бұрын
Thank you for checking out these classes !! Indeed I have not copied the raw files to AWS yet. I will be doing so shortly. The class will be 100% live in January - but I hope to have the links in the description in the next few weeks. More soon !!
@danielalzategutierrez3759 ай бұрын
@@rinnformatics5606 Thank you very much for your kind response, greetings!
@San723907 ай бұрын
Hello, were you able to download the fastq files yet? I'm also looking for them, thanks!
@aaronposton746211 ай бұрын
This is on point 💯💯💯
@rinnformatics560611 ай бұрын
Thank you !! We are inviting the whole world into this class - hope you can join us !
@aleminov111 ай бұрын
Thank you!
@rinnformatics560611 ай бұрын
Your very welcome - we are just getting started building a class in short steps for anyone to learn bioinformatics ! Please let us know if there are any issues !
@aleksandrbykov198 Жыл бұрын
Thanks for the video! Very clear explanation.
@skviknesh8566 Жыл бұрын
Hi, Thanks! I can run nextflow only in terminal's current session. I understand .bash_profile is in home directory. Inorder for nextflow be available in every session by default, Should .profile also be placed in home directory? Should .bash_profile also need path variables to be set?
@sanjaisrao484 Жыл бұрын
Thanks
@philipprice45152 жыл бұрын
☹️ 𝘱𝘳𝘰𝘮𝘰𝘴𝘮
@johnrinn53934 жыл бұрын
Hi All, I apologize we should have noted in this video that if you are not a CU student you can't connect to fiji-viz. The good news is all we are doing on Fiji Viz is running R-studio. Thus all you need to continue on from here is R-studio which can be downloaded for free here : rstudio.com/products/rstudio/download/#download The R-studio video will be the same set up and the main focus will be on your file paths. For example, where you set up your working directory should be the same place you cloned the github on your local computer or server. So in short once you have R-studio you will be able to continue with the ChIP-seq analyses. We start small with Pol II only - and for educational purposes that is really all you need to run. However if you have a computer with lots of hard drive space you can run most of the design file we have added in a .Rmd
@atakan76354 жыл бұрын
I dont having the "Settings" menu on CLASS_2021 github page. Do I need an admission for that? But when I do what you do on bash concole I got the same results? Like when I type ls I have a folder called CLASS_2021 etc.
@iot31364 жыл бұрын
Thank you very much Professor. Excellent job.
@rinnformatics56064 жыл бұрын
You are very welcome and RNA seq is on the way :)
@iot31364 жыл бұрын
@@rinnformatics5606 Excellent. Looking forward to watching it. Thank you as always for make these resources available freely accessible. Blessings 🙏🏽
@atakan76354 жыл бұрын
When I type gencode_gr <- rtracklayer::import("data/gencode.v32.annotation.gtf") I got Error in open.connection(con, open) What should I do?
@rinnformatics56064 жыл бұрын
On the class syllabus there is a download for this file. I am guessing you have a different folder structure. Is the file path to gencode.v32.annotation.gtf in a folder called "data" in your working directory? Or you can move it to your working directory and remove the data/ text in file path -- does that work?