Відео

I want to love and be loved like that

Thx for the good explanation !

Thank you

This video is like a journey that I never want to end. Magnificent!

Thank you very much, it is very helpful. Can you share the complied bash script (#!/bin/bash/ for all WGS and GBS starting from fastqc, multiqc, trimmonatic, bwa, samtools, GATK(bcftool/vcftool), please? Thanks in advance.

Thank you very much for sharing! I am a biologist without any computational background, your video is very helpful to get me started using R in my research!

Thank you, this is very helpful!

How do I download and install Bowtie 2

Is day 7 where dispersion and other estimates explained uploaded anywhere? I would love to see know what is explained there.

HELP

HELP

This is a helpful and well written explanation of Bowtie2. The audio quality of this explanation, however, is incredibly poor. I had to crank up the volume to barely understand what you were saying.

Hello! Thank you for your video this topic is definitely cause for confusion. I am stuck on chapter 8 and hoping you could clarify where my thinking error is? I have an RNASeq exp with 3 time points and 3 treatment types+a control(DMSO). I run DESeq() as below twice, once using the 24hour as a reference point and once for the 48hour. I believe I should be extracting the same result below as you explain in your video (here treatment effect "Ibr" at 48 hours), but the results differ. design<-~passage+inc_time+treatment+inc_time:treatment dds1 <- DESeqDataSetFromMatrix(countData=countData, colData=colData, design=design) dds1$inc_time <- relevel(dds1$inc_time, ref = "24") dds1 <- DESeq(dds1) R1<-results(dds1,contrast=list("treatment_Ibr_vs_DMSO","inc_time48.treatmentIbr"))%>%as.data.frame() dds2 <- DESeqDataSetFromMatrix(countData=countData, colData=colData, design=design) dds2$inc_time <- relevel(dds2$inc_time, ref = "48") dds2 <- DESeq(dds2) R2<-results(dds2,name="treatment_Ibr_vs_DMSO")%>%as.data.frame() > R1[4,] baseMean log2FoldChange lfcSE stat pvalue ENSCAFG00000000007 469.7007 0.1701164 0.2742005 0.6204087 0.5349888 padj ENSCAFG00000000007 0.8295431 > R2[4,] baseMean log2FoldChange lfcSE stat pvalue ENSCAFG00000000007 469.7007 0.08185999 0.1228012 0.6666058 0.505024 padj ENSCAFG00000000007 0.7109824 Would greatly appreciate any help!

I will share your channel with my firends

thansk so much for this videos I really enjoy it and I know it is really hard to create a content on youtube without high interaction to make to income but all I can do is subscirbe and push the like button for you thanks again

Please upload more videos on variant calling you could be saving a life literarily. Thank you

can you send me script of these all commonds

hi, very well explained, thanks. question: I have a set of data which has this condition: 1. severe drought in short time 2. severe drought in long time 3. mild drought in short time 4. mild drought in long time now, I want to make a meta data but I'm not sure whether I should make one single column which contains all the conditions and their controls or I should make separate columns for short + long + severe + mild any suggestion would be appreciated.

Tbh I want my dna short read

why dont you short read my DNA ;)

Everyone who doesn't code thinks bioinformaticians hit some magic button to spit out analysis. LOL. Super amped for this class.

Thank you so much! I was really lost with the analysis of ATAC-seq, but I feel way more confident in my essay of ATAC thanks to your video. Greetings from Chile.

Can i trim my rawreads twice?... meaning i trim raw reads and take the results and trim them?

Hi, I would like to ask if my understanding about how the mean gene expression level is calculated in the figure on the right is corrected: Suppose that there are 5 replicates and each cover 1000 different genes. Next, we calculate the mean of expression levels for each gene over 5 replicates and show them in the X axis. For the Y axis, we calculate the variance instead of mean. Is that correct? I am a little bit concern about the word "Pooled" in the Y-axis's title. Does it has any different meaning compared to those for calculating values on the X-axis? Many thanks!

Very good presentation