Hi Gangcai,
Sorry I did not figure out a solution about this, I just sticked to the old version index and GTF file, since all my samples were analyzed against the old index (NCBIM37.56). Also I use DESeq R package for all the gene expression level analysis.
I wonder how other SEQers think?
Thanks!
Unconfigured Ad
Collapse
X
-
I met the same problem. Is this problem solved for you?Originally posted by Wei-HD View PostHi All,
I met the same error with transcript ENSMUST00000127664, but if I use the Mus_musculus.NCBIM37.56.gtf and the relative index, I did not meet the error. Is that because some annotation has been updated?
Well, I manually deleted the rows which contain transcript ENSMUST00000127664 in the annotation file, then the problem solved. I will try cuffdif later on. But what if people are interested in this gene/transcript? it might not be a good idea to delete? Hopefully someone can give good explanation!
Thanks!
Leave a comment:
-
-
Hi All,
I met the same error with transcript ENSMUST00000127664, but if I use the Mus_musculus.NCBIM37.56.gtf and the relative index, I did not meet the error. Is that because some annotation has been updated?
Well, I manually deleted the rows which contain transcript ENSMUST00000127664 in the annotation file, then the problem solved. I will try cuffdif later on. But what if people are interested in this gene/transcript? it might not be a good idea to delete? Hopefully someone can give good explanation!
Thanks!Last edited by Wei-HD; 05-17-2010, 06:40 AM.
Leave a comment:
-
-
I get the same error message, and if you look at the transcript ENSMUST00000127664 it is indeed very long and has an intron of size ~ 4.4 Mb. This is way above the default maximum intron length (300,000) and that is why you get this error.
Also, make sure that your GTF file only contains rows for exons, not CDS or transcripts as well. Otherwise all your records in the GTF are duplicated. Maybe you have done this already, but just in case.
Leave a comment:
-
-
Differential expression analysis workflow in Cufflinks
Hi,
I'm hoping that someone can help me, as I couldn't work out how to do
this from the manual. Would someone be able to give me the steps in a
differential expression analysis?
I have run tophat with the following command for each of my two solexa
sequence.txt RNA-seq files seperately:
tophat --solexa1.3-quals -p 2 -o 101/100315/tophat/
~/software/bowtie-0.12.2/indexes/m_musculus_ncbi37
101/100315/s_2_sequence.txt &> 101/100315/tophat/tophat.out &
I would like to get the expression levels for all Ensembl transcripts.
I have downloaded this gtf file from Ensembl,
ftp://ftp.ensembl.org/pub/current_gtf/mus_musculus,
However when I run
cuffdiff ~/data/gtf/Mus_musculus.NCBIM37.57.gtf
101/100315/tophat/accepted_hits.sam 95/100315/tophat/accepted_hits.sam
&> cuffdiff.out &
or
cufflinks -G ~/data/gtf/Mus_musculus.NCBIM37.57.gtf 101/100315/tophat/accepted_hits.sam &>
101/100315/tophat/cufflinks.out &
I get the following error
Error: duplicate GFF ID 'ENSMUST00000127664' (or exons too far apart)!
I'm pretty sure I've misunderstood the workflow, if someone could give me
an overview of the steps and what gtf file I should be using that would
be great.
Many Thanks
Anna
(Cross posted to Bowtie forum)
Latest Articles
Collapse
-
by SEQadmin2
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...-
Channel: Articles
06-02-2026, 10:05 AM -
-
by SEQadmin2
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...-
Channel: Articles
05-22-2026, 06:42 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, Yesterday, 10:09 AM
|
0 responses
10 views
0 reactions
|
Last Post
by SEQadmin2
Yesterday, 10:09 AM
|
||
|
Started by SEQadmin2, 06-04-2026, 08:59 AM
|
0 responses
18 views
0 reactions
|
Last Post
by SEQadmin2
06-04-2026, 08:59 AM
|
||
|
Started by SEQadmin2, 06-02-2026, 12:03 PM
|
0 responses
26 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 12:03 PM
|
||
|
Started by SEQadmin2, 06-02-2026, 11:40 AM
|
0 responses
21 views
0 reactions
|
Last Post
by SEQadmin2
06-02-2026, 11:40 AM
|
Leave a comment: