Hi I am an undergrad who recently started working in a lab and pretty new to this so sorry if I sound like I have no idea what I'm talking about. I've been tasked with using kallisto to quantify transcript abundance from our RNAseq data(human). The reference fasta files I've been using that I found on ensembl (ftp://ftp.ensembl.org/pub/release-88/fasta/homo_sapiens/cdna/) all have multiple transcriptional variants for each gene, so kallisto then calculates the abundance of each variant gene, but my PI wants the abundance for each gene as a whole, having all the variants falling under a single gene, so I was wondering if anyone knows where I can get a human exome fasta file with a single sequence for each gene. My PI says he was able to get the abundance per gene with the old software he was using(partek genomic suite), so I feel like it should be possible. If there is another program I should use or a better method, would love to hear it. TLDR looking fasta for human exome without transcriptional variants
Thanks in advance for any help
3 answers
Hi swamyvinny,
I am not aware if and how this is possible with kallisto, but it is relatively simple with salmon (very similar tool). If you provide a .gtf or .tabular file to salmon, where you map each transcript to a gene, salmon will provide you not only counts for each transcript, but it will also summarize the counts for each gene automatically. I would not recommend using a fasta file with a single sequence for each gene, since taking only one transcript per gene will result in a big loss of information. If you wish to only measure gene abundance you can also align your samples and use a tool like featureCounts to get gene counts, but it will demand more computational resources and evidence suggest, that it will also be less accurate.
Hope this helps!
Stefan
I agree with h.mon, I am using tximport after kallisto to get the summarized counts for each gene. You can use tximport output for downstream DEG analysis also. https://bioconductor.org/packages/release/bioc/html/tximport.html Thanks
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