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openSearch issue: MSFragger mass calibration + peptideProphet #50
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Hi Adithi,
Thanks for your interest in MSFragger. Is your data from high resolution
MS/MS?
Thanks,
Fengchao
On Thu, 28 Nov 2019 at 8:10 AM, adithirv ***@***.***> wrote:
Hi MSFragger team,
I am running MSFragger open search using MSFragger-2.2 and philosopher
build 20190319. I am getting this message in the fragger run: "Not enough
data to perform mass calibration, using the uncalibrated data".
Subsequently, the mixture model quality test is failing for all charges in
the peptide prophet step. Utimately, the protein prophet does not find any
peptide prophet results and fails completely. Would you know what is
causing this problem?
My proteomics data were generated using LTQ Orbitrap XL or LTQ FT Ultra
mass spectrometer.
I alternatively tried open search using data generated from Q Exactive and
this problem was not there. I am attaching my fragger.params and log file.
fragger_params.txt
<https://github.com/Nesvilab/MSFragger/files/3901813/fragger_params.txt>
log-fragpipe-run-at_2019-11-28_13-40-32.log
<https://github.com/Nesvilab/MSFragger/files/3901824/log-fragpipe-run-at_2019-11-28_13-40-32.log>
Thanks in advance
Adithi
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Dr. Fengchao Yu
University of Michigan
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Hi Fengchao, Thanks for your reply. Best |
Hi Adithi, Could you please try the following for me:
Thanks, Fengchao |
No, Most likely low resolution ms/ms
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On Nov 28, 2019, at 10:21 AM, adithirv <notifications@github.com> wrote:
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Hi Fengchao,
Thanks for your reply.
The data were generated from either LTQ Orbitrap XL or LTQ FT. So, I would say they are high resolution MS/MS.
Best
Adithi
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Hi Fengchao, I tried the first solution that you provided me. It is not not showing any mass calibration errors. But, I run into memory issues now. I will try to fix it and keep you posted if it runs through completely. @alexey: Ok. Apologies then. I looked up online and asked mass spec experts, both gave me the conclusion that it is high resolution. Does that influence the mass calibration error I am getting? Best |
If you get good Id numbers with 300ppm initial fragment setting ( and bad with 20ppm) it means you have low mass accuracy data
But calibration should be fine either way, I think
With low mass accuracy ms/ms, we do not recommend open search though
Alexey
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On Nov 29, 2019, at 2:52 AM, adithirv <notifications@github.com> wrote:
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Hi Fengchao,
I tried the first solution that you provided me. It is not not showing any mass calibration errors. But, I run into memory issues now. I will try to fix it and keep you posted if it runs through completely.
@alexey<https://github.com/alexey>: Ok. Apologies then. I looked up online and asked mass spec experts, both gave me the conclusion that it is high resolution. Does that influence the mass calibration error I am getting?
Best
Adithi
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Hi Adithi, I agree with Alexey that your data has low resolution MS/MS spectra. You may confirm it by looking for the tag with And mass calibration works well with both high and low resolution data as long as you put an appropriate fragment tolerance. Best, Fengchao |
Hi Fengchao and Alexey, Thanks again for your detailed reply and suggestions. You guys provide great and fastest support which makes MSFragger more enjoyable to use. My data now ran through successfully in both open and closed search with 300 ppm fragment tolerance. I had the mass calibration and downstream error in both the search mode but now they both are solved. Sure, fragment tolerance had to be adjusted. I have previously used MS-GF+ with the same data and a precursor tolerance of 20ppm. With MS-GF+, the fragment tolerance cannot be set. So, I was not aware of a frag. tol. setting that would work. Next, I am going to try closed search with proteogenomics database and looking forward to see how MSFragger performs there. I checked for the MS:1000512 tag in my mzML files. Indeed, my file has this tag for MS/MS scan. Thanks once again, |
Hi MSFragger team, I am also running into this same issue when doing an open search: I am getting an error of "Not enough data to perform mass calibration. Using the uncalibrated data.". I had tried it at 15 and 20 ppm for the fragment tolerance, but running it at 300 ppm fragment tolerance did not change the error message. I am running this on a Fusion Lumos, with MS1 Orbitrap resolution of 30,000 and MS2 Orbitrap resolution of 30,000. This seems well within the typical definition of high resolution, but is it not high enough for the mass calibration in MSFragger? I am running MSFragger 3.1.1 and Philospher 3.3.12 on FragPipe 14.0. I've attached my log and parameters from the 15 ppm run. Thanks, |
Hi Jsoh, Does your data have some labelling or PTM enrichment? Best, Fengchao |
Fengchao, Thanks for the speedy reply! No, no labeling or enrichment. No reduction or alkylation either (unusual, I know, but that on purpose for our assay). Its an overlapping-window DIA run on trypsin-LysC digest of human serum. The goal is to identify unknown modifications. I've specified some Cys mods as variable modifications that we know could be present. Josh |
Open search is for DDA only. |
You can run DIA-Umpire workflow or MSFragger-DIA (if narrow window DIA). You could still do open search in that case.
Is your database a regular database? The file name suggest that it is a custom database?
Alexey
From: jossmi <notifications@github.com>
Sent: Wednesday, January 13, 2021 2:32 PM
To: Nesvilab/MSFragger <MSFragger@noreply.github.com>
Cc: Nesvizhskii, Alexey <nesvi@med.umich.edu>; Comment <comment@noreply.github.com>
Subject: Re: [Nesvilab/MSFragger] openSearch issue: MSFragger mass calibration + peptideProphet (#50)
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Fengchao,
Thanks for the speedy reply! No, no labeling or enrichment. No reduction or alkylation either (unusual, I know, but that on purpose for our assay). Its an overlapping-window DIA run on trypsin-LysC digest of human serum. The goal is to identify unknown modifications. I've specified some Cys mods as variable modifications that we know could be present.
Josh
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Fengchao and Alexey, ...I did not know that. Now I feel pretty foolish for having spent so long trying to get this to work with my DIA data. Is that specified anywhere? I might have missed that detail in the papers or documentation. We are actually only interested in albumin modifications. I've tried it both with the whole human database and with a custom database I generated with Philosopher, using only human albumin, decoys, and contaminants. So, to clarify, DIA-Umpire can do open searching of my DIA data and identify unknown modifications? What would the pipeline look like in that case - would I still run Crystal-C, PeptideProphet, and ProteinProphet downstream from DIA-Umpire, similar to how I was attempting with MSFragger? Thanks, |
Dear Josh,
Our tutorials are here:
https://fragpipe.nesvilab.org/
We do not discuss DIA data there. But as Fengchao said, you can use DIA-Umpire workflow
Best
Alexey
From: jossmi <notifications@github.com>
Sent: Wednesday, January 13, 2021 3:01 PM
To: Nesvilab/MSFragger <MSFragger@noreply.github.com>
Cc: Nesvizhskii, Alexey <nesvi@med.umich.edu>; Comment <comment@noreply.github.com>
Subject: Re: [Nesvilab/MSFragger] openSearch issue: MSFragger mass calibration + peptideProphet (#50)
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Fengchao and Alexey,
...I did not know that. Now I feel pretty foolish for having spent so long trying to get this to work with my DIA data. Is that specified anywhere? I might have missed that detail in the papers or documentation.
We are actually only interested in albumin modifications. I've tried it both with the whole human database and with a custom database I generated with Philosopher, using only human albumin, decoys, and contaminants.
So, to clarify, DIA-Umpire can do open searching of my DIA data and identify unknown modifications? What would the pipeline look like in that case - would I still run Crystal-C, PeptideProphet, and ProteinProphet downstream from DIA-Umpire, similar to how I was attempting with MSFragger?
Thanks,
Josh
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Thanks so much for your help. Josh |
Hi MSFragger team,
I am running MSFragger open search using MSFragger-2.2 and philosopher build 20190319. I am getting this message in the fragger run: "Not enough data to perform mass calibration, using the uncalibrated data". Subsequently, the mixture model quality test is failing for all charges in the peptide prophet step. Utimately, the protein prophet does not find any peptide prophet results and fails completely. Would you know what is causing this problem?
My proteomics data were generated using LTQ Orbitrap XL or LTQ FT Ultra mass spectrometer.
I alternatively tried open search using data generated from Q Exactive and this problem was not there. I am attaching my fragger.params and log file.
fragger_params.txt
log-fragpipe-run-at_2019-11-28_13-40-32.log
Thanks in advance
Adithi
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