Star alingment, Salmon quantification
1
0
Entering edit mode
3.6 years ago

Hello, I hope you all well in these times. I am very new in bioinformatics, currently doing pipeline with human diseased and control samples using STAR aligner and I got as an output .bam files. I need to put .bam files into Salmon for quantification and can someone help me to understand how it is done, please? If you can suggest any existing pipeline that I can have a look at how it is done? I generated Salmon index code : salmon index \ -t /Homo_sapiens.GRCh38.cdna.all.fa \ -i SalmonIndex \ -k 31 will appreciate for any advice in STAR-SALMON !

SALMON STAR STAR-SALMON • 3.3k views
ADD COMMENT
2
Entering edit mode
3.6 years ago
Rob 6.9k

You can use salmon with STAR aligned reads, but you must tell STAR to prepare a bam with respect to the transcriptome (I believe the flag is --quantMode TranscriptomeBam, and probably some other flags you want too. In fact STAR+salmon is a nf-core workflow (https://github.com/nf-core/rnaseq) so you can check there for all the details, and maybe use nf-core if it suits your needs. Finally, as Michael points out, you could also just have salmon align the reads itself via selective alignment.

ADD COMMENT
0
Entering edit mode

Hello, thank you for your advice, I did run STAR quite well in 'diseased ' and 'control ' samples , but I have mapping rate 97% in control and 94% in the "diseased sample" .I am not sure it is good ? Could you share your expirience with mapping using STAR tool or maping expirience with any other tool . Is 97% is good? I mean compare to 94% it is sounds good .I think th error was- 'samples are too short'. My samples are 100 in lenght and I use flag . But how I can make it better please? I was thinking about double mapping using STAR , but never I used it before ... If you know how does it work please share your expireence and your opinion please ...Thank you in advance .

ADD REPLY

Login before adding your answer.

Traffic: 1530 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6