Video

voice is not clear most of the time

This helped a lot! Thank you

Thanks so much. when the next lecture

This is well explained and very informative

Video to make wonders ❤

Great video thnx for sharing <3

In this series, voice is breaking between a lot... Please ask the speakers to speak to microphone...

what is this channel about? I am interested in bioinfomatics in canada and i'm currently in undergrad and wanted to know more about the feild.

Great channel

Thanks to the Bioinformatics DotCa team for making this wonderful series of videos public.

Hi thank you for this valuable workshop. I would like to ask if the functional analysis for untarget metabolomics can also be applied for NMR data? Thank you.

Good comprehensive video. One comment regarding differential expression analysis post-integration (starting at 56:27). In either bulk or single-cell sequencing, most tools highly recommend NOT doing DE analysis on corrected data, exactly because of the concerns regarding under- or over-correction and removing potential biological variation. If you read the literature around older batch correction tools such as ComBat, most recommend that DE analysis correct for batch effects within the statistical model (i.e. including a model of ~ Batch + Condition). Obviously, Seurat doesn't have that functionality, but if you perform pseudobulk aggregation for DE analysis (literature suggests this is more statistically sound), then tools capable of including batch effects in the regression model (DESeq2, edgeR, limma-voom, etc.) are available.

Hello thank you for the lecture. I would like to ask which metabolite set library I should use for enrichment analysis if I am doing human cell extract metabolomics? Thank you.

Excellent lecture. Thank you

Very helpful lecture

A million dollar lecture. Thank you 👍👍

Thank you so much!

hello, do you have de DOI or any information about the comparation between RNA shield and RNA later that was shown in the presentation? thanks

Thanks a lot for sharing these materials online. Learning bioinformatics by myself in Kenya

List of DBs to use in metabolomics

thank you so much❣

Very intersting and informative tutorial! Thanks! I'd be happy if your email is avaipable.

did they remove the analysis report feature from this version I have five and can't find it

Does the PPT available, Hamza bhai?

thank you

Thanks!!!

bhai speak slower

Can you please upload a tutorial on EnrichmentMap with GSEA data results and network analysis? And how to generate a heat map from the GSEA data pathways. I would really appreciate it. Great tutorial on this one.

Wonderful

I need help finding sessions two and three of introduction to R. Can you help?

Great 👍

this is great! Thank you

Excellent video. Thanks for sharing!

Hi, I have some questions regarding this. I am trying to make my own network. I have got 1000 gene IDs which are sorted in 6 clusters. All ID's contain descriptive information about the gene, and have got relative expressions for 8 different times (healthy vs sick). I have got all this data, but do not know how to import it in the right way into cytoscape. Could you help me with this? With kind regards, Jip

good overview.

bravo!

Excellent presentation!

thank you!

I really want to thank you for your lecture!!

Can we analyse LC MS- MS data in meraboanalist?

I know he's brilliant...but boy oh boy...his explanation is in ASCI character ;) I wish Jared could teach the whole course :(

Warning message: package ‘ggplot2’ was built under R version 4.1.3 Please I got that error message, how do I go about it. Thank you

Hi! Thank you for making these resources openly available. I am following this series/workshop by myself (I was not registrant) and I feel this section should follow (as in go after) the section in the "CBW’s INtroduction to R workshop - 02: Your second script" video.

Hi, do you have time stamps for the workshop ?

Thank you so much!! ❤️

Great!!!

Wow! I am really impressed with this course. Presented well with details!

good

Dr Laura Hug is an amazing speaker- explains clearly and concisely

Thank you, it was very helpful!