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very informative. Thank you alot!

Great video! (a minor error on the slide "Evaluate Differentially Expressed Genes": the !Up and !GO value should be 20k-220, not 20k-120

How I can interrogating the sample PBMC clusters for the following genes ? Thank you CD68 CD45 Sox10 CD44

I don't have access to the course. How can I have access?

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Thank you much, I was really confuse between GO term and GSEA GO, now I know the basic concept 🙏

Thank you

good work .. I hope I wish to have free online courses specificly in R studio and analyzing the a dataset of Peripheral Blood Mononuclear Cells (PBMC) ? Than you Prof

Thanks a lot my goddess

Thank you for making this videos freely available to the public! I have a question and I hope you can see this: I wonder if we are comparing between HiC experiment, how are the data normalized to the read depth then? is there recommended packages to use?

Thank you Ma’am for putting this together.

Dear Professor Liu, I am learning about RSEM for RNAseq analysis. I download the genome (fasta) and its annotation (GFF) of an untypical organism from JGI (Joint GenomeInstitute) database, and want to set them as reference for RNAseq analysis using the star + RSEM strategy. On my macOS, the command was as below: rsem-prepare-reference --gff3 /ref/Aurli1_GeneCatalog_genes_20120618.gff \ --star \ --star-path /Users/xinjun/miniconda3/envs/rnaseq/bin/star \ /ref/Aurli1_AssemblyScaffolds.fasta \ /Auran_RSEM/auran_rsem However, an error message “Invalid number of arguments!” always occurs. How to resolve this? Thanks so much.

Nice presentation

I wish you were my professor.

Re that women's question, try adding rsem after the directory (the/directory/to/rsem/rsem)

This Chanel is a Dimond for the beginners in the field. Thx!

forward procedure clearly explained step by step. Really precious. Many thanks

At 3:50 - graph on left, why do some reads have negative insert size?

This is chapter is very unclear and hard to understand.

how to make gene regulatory network?

very nice the video

It simply explains the base of GWAS and eqtl

Thank u very much.

Thank you very much, at the end, I understood concept. Best Regards.

Thank you so much for this insightful presentation Dr. Liu!!

Great contribution, thank you so much, Dr. Liu. <3

the fact that this video is free on youtube is amazing. we live in great times. Thank you Feng and Shirley

Thanks for this videos!

It's very clear and helpful!

Why do we want to find these motifs? Does motif mean regulatory region to which a TF might bind?

Immediately I noticed that your slides are familiar. BAM! they're all from @statquest with Joshua Starmer Finally mentioned 7:02 😅

Thank you for this material! I just wanted to ask, is this material the same as in STAT115 2020, or should I go through both playlists to cover the whole course?

Hi Dr. Liu, thank you for this lecture. I'm wondering whether the increased dispersion is due to genes having different propensities to be "off" (almost no counts) versus being "expressed" (whatever that means in contrast), and whether this means that it would be better to model genes with low expression differently from genes with high expression. In other words, maybe the uni-modal NB distribution is inaccurate, and a bimodal distribution would be more appropriate. I wonder what your thoughts on that are. Thank you!

professor，could you please share an excel of eqtl data？🥺

loved it, thanks <3

Thank you

😘start from here

wow! That was so skilled! Well done. We are practising this for our grade 5 ABRSM exam and that was not easy!

13:50 19:30 cross,sonic

How could I find the book?

The third chapter in this video is called "CASB Competition" but it should be "CASP Competition", no?

Great video! I really learnt a lot. Your style of explaining is very clear and insightful. Thank you!

Здравствуйте! Подскажите, где можно найти ноты этого произведения?

Helpful explantation!

Nice explanation! clear understanding of the strand shift in particular

Is there any way i can get a certificate in this course?

Wow; very good!!! I'm trying to learn this piece right now but it'll be at least another year before I can even get through it I think. I'm an adult beginner, you play amazing!

Unbelievable. As always as pale as possible. The academia really is where discrimination goes to thrive.