![]() |
|
![]() |
||||
Thread | Thread Starter | Forum | Replies | Last Post |
Uneven number of biological reps on DESeq | sulfatereducers | Introductions | 2 | 11-07-2016 01:58 PM |
samtools flagstat issues w/ star, hisat2, gsnap & tophat2 | jmartin | Bioinformatics | 6 | 09-30-2016 03:26 PM |
HISAT2 vs. TopHat2: Discrepancies between Hg19 & Hg38 | Sbamo | RNA Sequencing | 0 | 01-26-2016 06:05 AM |
reps and analysis | Vale16S | Metagenomics | 5 | 07-30-2014 08:48 AM |
Statistical treatment of biological reps from pooled samples | danwiththeplan | RNA Sequencing | 7 | 10-23-2013 09:28 PM |
![]() |
|
Thread Tools |
![]() |
#1 |
Junior Member
Location: Florida Join Date: Oct 2017
Posts: 3
|
![]()
I have a question regarding the variability of FPKM I am seeing between technical replicates in the Hisat2, stringtie pipeline. When I plot technical replicates by log2 FPKM, I am getting Spearman correlations of 0.6. I used the same fastq files in the tophat, cufflinks pipeline (default settings) and had Spearman correlations of 0.9. I am wondering which parameters I can change in Hisat2 to make it behave more like tophat2. In hisat, I have tried several different parameters and I am getting similar results regardless of the parameters I use.
The parameters I have tried in hisat2 are as follows: -k 2 --max-seeds 15 --no-mixed -k 3 --max-seeds 10 -k 10 --max-seeds 10 default settings I am getting a high percentage of multi-mapping (~20%) and I am wondering if that is a problem. Thank you for your help! |
![]() |
![]() |
![]() |
#2 |
Junior Member
Location: Florida Join Date: Oct 2017
Posts: 3
|
![]()
I have answered my own question, but I am posting just in case someone else has a similar issue.
I ran the same tophat data with stringtie and got a similarly bad correlation between technical replicates of 0.62. Now I know that the problem must be with stringtie and not with hisat2. |
![]() |
![]() |
![]() |
Tags |
alignment, hisat, replicates, tophat |
Thread Tools | |
|
|