Sir i have transcriptomic data set in rice regarding nematode infection, resistant and suceptible parent infected vs un infected but i unable to choose which pathways i need to take to write a paper
How to calculate FC, log2FC, Pvalue, Padj, Up/down genes in RNA seq data using Excel th-cam.com/video/HH3Mll4W5WE/w-d-xo.html How to find genes of interest in RNA-seq / transcriptomic data ? Kegg pathway th-cam.com/video/LeNjskbF8RY/w-d-xo.html Interpretation of Principal component analysis (PCA) in RNA seq th-cam.com/video/aUOV7EBGOy8/w-d-xo.html How to select genes for qPCR validation in transcriptome/RNA seq data? th-cam.com/video/PRhHBcjKAKU/w-d-xo.html How to interpret the results of KEGG pathway analysis? th-cam.com/video/meTGfLVBiRs/w-d-xo.html How to write and interpret gene ontology (GO) in research articles ? th-cam.com/video/kRt2IWfhCqU/w-d-xo.html Interpretation of RNA-seq heat maps th-cam.com/video/cRT5mpGMDmQ/w-d-xo.html Interpretation of RNA seq data | DEGs | GO | KEGG th-cam.com/video/xc2zEI_5pmw/w-d-xo.html You can watch them in reverse order, last one first and watch one by one while moving up. Hope you will get answers.
I am looking for gene targets of differentially expressed microRNAs. I have been using Transcriptome Analysis Console, but it is very limited in terms of data visualization, thus I have been looking for a free online substitution. Unfortunately, most of what I have tried online do not recognize my samples' accession numbers (MIMAT... and MI...), thus I am unable to use these tools. Do you know of any that would accept my accession numbers? My data contains ~3500 microRNA entries. If this helps: data is from microarray and I do not know how to use R. Thanks!
@@asifmolbio Hello! The software successfully accepted the 20 accession numbers, so I tried pasting all of my data. However, your software is telling me I have 1 accession number assigned to more than one miRNA. Which is fine. But considering I have thousands of entries, I will have to delete the replicates one at a time.
Your videos are very significants for the students who don't know anything about MB. APPRECIATED
Glad if its helpful
Just in time I needed to know more about this topic.
Glad its in time
@Dr Asif sir
If we have mean fold change data of treated and untreated group in single excel then how to upload and generate graph from this
Then its not possible first have to choose data
@Dr Asif your video is informative but this website has limited species so how we can search our data in it?
Unfortunately, this website is for limited species. You can try bioinformatics.com.cn/en
brothr tell me about the gene of interest related to various plants hormone like auxin, IAA, Cytokinins , GA
You can search with one by one keywords after uploading to Divenn
what is recommended software for tomato?
great but this website has limited species so how we can search our data??
This website is species limited
Can you make a video on wcgna analysis using idep since many of analysis like tom heatmap, adjacency heatmap are missing in idep
Its already uploaded let me share with you the link
th-cam.com/video/_zXbgLlObiQ/w-d-xo.htmlsi=ihK1Andqrq6mPY5b
AOA bhai.... agr hum brassica ka krna RNA seq data analysis krna chahiay to ais site p. Brassica family ka option hi nh
Wslam right its only limited to a few species only
Very nice, to the point 👍👍
Glad you enjoyed
Sir ! How many graph and which graph we can include in our thesis data from transcriptome, please reply me
Already responded you in email
So when you are selecting the p0.05 is it pvalue or adjusted pvalue? Thanks
Adjusted
Sir, is expression value similar as fpkm?
Yes fpkm is also expression
Sir i have transcriptomic data set in rice regarding nematode infection, resistant and suceptible parent infected vs un infected but i unable to choose which pathways i need to take to write a paper
How to calculate FC, log2FC, Pvalue, Padj, Up/down genes in RNA seq data using Excel
th-cam.com/video/HH3Mll4W5WE/w-d-xo.html
How to find genes of interest in RNA-seq / transcriptomic data ? Kegg pathway
th-cam.com/video/LeNjskbF8RY/w-d-xo.html
Interpretation of Principal component analysis (PCA) in RNA seq
th-cam.com/video/aUOV7EBGOy8/w-d-xo.html
How to select genes for qPCR validation in transcriptome/RNA seq data?
th-cam.com/video/PRhHBcjKAKU/w-d-xo.html
How to interpret the results of KEGG pathway analysis?
th-cam.com/video/meTGfLVBiRs/w-d-xo.html
How to write and interpret gene ontology (GO) in research articles ?
th-cam.com/video/kRt2IWfhCqU/w-d-xo.html
Interpretation of RNA-seq heat maps
th-cam.com/video/cRT5mpGMDmQ/w-d-xo.html
Interpretation of RNA seq data | DEGs | GO | KEGG
th-cam.com/video/xc2zEI_5pmw/w-d-xo.html
You can watch them in reverse order, last one first and watch one by one while moving up. Hope you will get answers.
Watch them hopefully, you will select pathway
Thank you Sir
You are welcome
I am looking for gene targets of differentially expressed microRNAs. I have been using Transcriptome Analysis Console, but it is very limited in terms of data visualization, thus I have been looking for a free online substitution. Unfortunately, most of what I have tried online do not recognize my samples' accession numbers (MIMAT... and MI...), thus I am unable to use these tools. Do you know of any that would accept my accession numbers? My data contains ~3500 microRNA entries. If this helps: data is from microarray and I do not know how to use R. Thanks!
Hi kay, you can try uploading those ids with expressions ( of 20 or 10 microRNAs only in first instance) and check if its working.
@@asifmolbio I will try! Thanks!
@@asifmolbio Hello! The software successfully accepted the 20 accession numbers, so I tried pasting all of my data. However, your software is telling me I have 1 accession number assigned to more than one miRNA. Which is fine. But considering I have thousands of entries, I will have to delete the replicates one at a time.
Very nice ®
Glad you like it
How can we plot when we have only two groups?
Take one as control and have a comparison
Sir give lecture on the single cell RNA seq analysis tutorial. Thanks
Yes much needed topic sure thanks for suggestion
Nice Video! Does it also apply to proteomics data?
Yes most of them equally applicable in proteomics
Yes most of them equally applicable in proteomics
@@asifmolbio Thank u!And I have another question: What do you mean by"three treaments" in 3:06? That is, how to process data in three ways?
Thanku sir
Glad you like it
hello sir, Can I contact you by WhatsApp or email ?
asifalikalas@foxmail.com
dear sir, I have sent you an email@@asifmolbio
Thank u very much sir g
can I have your LinkedIn or email?
Just want to ask and know more about thses Transcriptomic tools
I will be very thankful
Thanks, please do an email to asifalikalas@foxmail.com