Bacterial RNA-seq analysis
1
0
Entering edit mode
8.8 years ago
mcff23 ▴ 60

Hi everyone,

I'm trying to analyze bacterial RNA-seq data and I want to know which pipeline is the best. I have a genome reference and it is annotated. Can I use Trinity to perform the analysis? Cufflinks?

Any hint on this would be great.

Thanks in advance!

Monica

RNA-Seq bacteria • 6.6k views
ADD COMMENT
0
Entering edit mode

It depends on what analysis do you want to perform. Btw, there should be tons of posts related to your question.

ADD REPLY
0
Entering edit mode

I want to perform differential expression analysis. I just want to know which is the best pipeline to use in bacterial samples. For example I know that I can use bowtie2 or BWA to align my reads against the reference instead of using Tophat because I am working with bacteria. Do I have to consider others aspects in order to proceed with the analysis?

Thanks!

ADD REPLY
3
Entering edit mode
8.8 years ago
Asaf 10k

I think that the best option is Rockhopper. It works well and it's fully automated.

ADD COMMENT
0
Entering edit mode

I am using Rockhopper for the bacterial RNA se datas. I gave the two .fastq files as input along with the reference. The two files are from two different experimental conditions. For differential gene expression I am getting 0% which is not helpful at all. Is there anything I am missing here? Thank

ADD REPLY
0
Entering edit mode

Do you have one replicate of each condition? In that case I don't think Rockhopper can find differential genes

ADD REPLY
0
Entering edit mode

I have two replicate for each condition. I really need help to figure it out this one. Best,

ADD REPLY
0
Entering edit mode

You woke-up an old discussion, I think it would be better to open a new post describing your experiment and obstacles.

ADD REPLY

Login before adding your answer.

Traffic: 1677 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