"TMT-Integrator can't find the 'Purity' column"

[dnwhdals]

• Describe the issue or question: Hello,

I am struggling with an issue with FragPipe v16.0 while quantifies PSMs in TMT-10 dataset. It seems the tool is not able to generate the "Purity" column in the PSM tables. Please find attached the log file. How can I resolve the issue?

Thank you in advance.

Jongmin Woo

• Upload your log file (If a log file hasn't been generated, go to the 'Run' tab in FragPipe, click 'Export Log', zip the resulting "log_[date_time].txt" file to avoid truncation, then attach the zipped file by drag & drop here. log_2021-09-26_01-54-25.txt )

[huiyinc]

Hi Jongmin,

Can you please check if there is a column, Purity, in your PSM.tsv file? Thanks.

Huiyin

dnwhdals @.***> 於 2021年9月26日 下午2:04 寫道：

 Describe the issue or question: Hello, I am struggling with an issue with FragPipe v16.0 while quantifies PSMs in TMT-10 dataset. It seems the tool is not able to generate the "Purity" column in the PSM tables. Please find attached the log file. How can I resolve the issue?

Thank you in advance.

Jongmin Woo

Upload your log file (If a log file hasn't been generated, go to the 'Run' tab in FragPipe, click 'Export Log', zip the resulting "log_[date_time].txt" file to avoid truncation, then attach the zipped file by drag & drop here. log_2021-09-26_01-54-25.txt ) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

[fcyu]

Hi Jongmin,

I think you didn't run Philosopher' label quant and free quant, which are required by TMT-Integrator. Can you load one of the TMT workflow and try again?

Best,

Fengchao

[dnwhdals]

I tried to re-load TMT10 workflow and re-run the search, but same issue was occurred. In the PSM.tsv file, no "purity" column was created during the process.

Could you more specific of the running Philosopher label quant and free quant? Where can I find the check box of the Philosopher quant?

[fcyu]

Hi Jongmin,

Can you send me your log file? Please zip it. Then, drag it to GitHub issue page, or email it to yufe@umich.edu. GitHub somehow won't show the zip attachment if directly replying the email. And GitHub truncates the text file if you attach it directly.

I just tried a dry-run and see those commands in my log, which indicates that freequant and labelquant will be run.

FreeQuant [Work dir: F:\dev\msfragger\dev\exp_1]
C:\Users\yufe\Desktop\bin\philosopher-v4.0.1-RC5.exe freequant --ptw 0.4 --tol 10 --dir E:\data\PXD001468
FreeQuant [Work dir: F:\dev\msfragger\dev\exp_2]
C:\Users\yufe\Desktop\bin\philosopher-v4.0.1-RC5.exe freequant --ptw 0.4 --tol 10 --dir E:\data\PXD001468
FreeQuant [Work dir: F:\dev\msfragger\dev\exp_3]
C:\Users\yufe\Desktop\bin\philosopher-v4.0.1-RC5.exe freequant --ptw 0.4 --tol 10 --dir E:\data\PXD001468
Quant (Isobaric) [Work dir: F:\dev\msfragger\dev\exp]
C:\Users\yufe\Desktop\bin\philosopher-v4.0.1-RC5.exe labelquant --tol 20 --level 2 --plex 10 --annot E:\data\PXD001468\11_annotation.txt --brand tmt --dir E:\data\PXD001468

Best,

Fengchao

[dnwhdals]

log_2021-09-26_01-54-25.zip

Hi Fengchao.

Please find the attached zip file. I can also see the free quant and label quant in a dry run console. FreeQuant [Work dir: E:\Jacob\NPTDAB_Raw_data\AB01] E:\Jacob\fragpipe\tools\philosopher\philosopher.exe freequant --ptw 0.4 --tol 10 --raw --dir E:\Jacob\NPTDAB_Raw_data Quant (Isobaric) [Work dir: E:\Jacob\NPTDAB_Raw_data\AB01] E:\Jacob\fragpipe\tools\philosopher\philosopher.exe labelquant --tol 20 --level 2 --plex 10 --annot E:\Jacob\NPTDAB_Raw_data\annotation_annotation.txt --brand tmt --raw --dir E:\Jacob\NPTDAB_Raw_data

Best regards, Jongmin

[fcyu]

Hi Jongmin,

Thanks for your log. But there is no free quant or label quant in your log. Can you double check?

Best,

Fengchao

[dnwhdals]

log_2021-09-27_13-11-48.zip Could you check out the new log file attached? I uploaded a log file that was created when I first noticed the problem, but strangely there was no labelquant on the log. But if you look at the log file I upload now, you will see that labelquant exists. But I still have the same issue.

Jongmin

[fcyu]

Thanks Jongmin,

Yes, the latest log has free quant and label quant, and both of them finished successfully. But TMT-Integer still says that can't find the "Purity" column. Can you help to check if there indeed no "Purity" column in psm.tsv?

Thanks,

Fengchao

[dnwhdals]

No, there is no 'Purity' column on the psm.tsv file. Please take a look the top row of psm file. If you need psm.tsv, I can send you via email because Github doesn't support .tsv file. <html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns="http://www.w3.org/TR/REC-html40">

Spectrum | Spectrum File | Peptide | Modified Peptide | Prev AA | Next AA | Peptide Length | Charge | Retention | Observed Mass | Calibrated Observed Mass | Observed M/Z | Calibrated Observed M/Z | Calculated Peptide Mass | Calculated M/Z | Delta Mass | Expectation | Hyperscore | Nextscore | PeptideProphet Probability | Number of Enzymatic Termini | Number of Missed Cleavages | Protein Start | Protein End | Intensity | Assigned Modifications | Observed Modifications | Is Unique | Protein | Protein ID | Entry Name | Gene | Protein Description | Mapped Genes | Mapped Proteins | Quan Usage | TP01 | TP02 | TP03 | TP04 | TP05 | TP06 | TP07 | TP08 | TP09 | pool -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | -- | --

Thank you.

Jongmin

[fcyu]

Thanks Jongmin. Then, it is a Philosopher bug.

Felipe @prvst , can you take a look?

Thanks,

Fengchao

[sarah-haynes]

Hi Jongmin, can you upload the psm table and one of the raw files here? https://www.dropbox.com/request/dnXWcJre9FgQJeibzZEl

[dnwhdals]

Hi, Sarah.

I uploaded the files in the dropbox so you can take a look. The raw file I uploaded is only partial of entire dataset. We have currently 864 raw files, corresponding to 840 GB, for the entire dataset. I am indeed wondering the FragPipe can be handle the high-throughput dataset.

Best regards Jongmin Woo

[anesvi]

I should handle it except possibly one step in philosopher. But it is not needed, really. If you get a crash at that stage, you can rerun from TMT-Integrator step.

Fengchao – should we add an option not to run that step?

Jongmin, you can also contract us directly by email, as you have a special case

Best Alexey

From: dnwhdals @.> Sent: Tuesday, September 28, 2021 3:11 PM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471)

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Hi, Sarah.

I uploaded the files in the dropbox so you can take a look. The raw file I uploaded is only partial of entire dataset. We have currently 864 raw files, corresponding to 840 GB, for the entire dataset. I am indeed wondering the FragPipe can be handle the high-throughput dataset.

Best regards Jongmin Woo

— You are receiving this because you were assigned. Reply to this email directly, view it on GitHubhttps://github.com/Nesvilab/FragPipe/issues/471#issuecomment-929546437, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM6YOIOLMI56B5LCKGEDUEIHMPANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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[fcyu]

Hi Alexey,

Yes, I will add a checkbox to FragPipe.

Hi Jongmin,

Sarah will contact you directly regarding the files you uploaded.

Thanks,

Fengchao

[dnwhdals]

Hi Alexey, Sounds good to me. I will try to rerun with marking the option of skip PSM quantification.

And thank you, Fengchao, for your help!

JW

[sarah-haynes]

Hi Jongmin, can you try uploading the raw file and psm.tsv file again? It looks like they didn't get uploaded the first time: https://www.dropbox.com/request/dnXWcJre9FgQJeibzZEl

(Still writing you here because the email didn't go through.)

Thanks! Sarah

[dnwhdals]

hi Sarah,

Sorry for your inconvenience, please double check the uploaded. You can also directly email me at j_woo@uncg.edu Thank you!

JW

[sarah-haynes]

Hi Jongmin, we are able to use other Thermo .raw files directly for TMT workflows, but it looks like these .raw files don't work, and it may take us a while to figure out why. I converted the file you sent to .mzML and that worked fine, so I would recommend converting to .mzML for now. You can do this in the command line if it's easier, here's an example: msconvert.exe --mzML --64 --zlib --filter "peakPicking true 1-" *.raw

Sarah

[dnwhdals]

Thank you for your suggestion. The files have been searched by MaxQuant before so I believe it would work on the FragPipe. As you suggested, I will try to convert the files and search it. Please keep an update if you figure it out.

JW

[anesvi]

Yes, you should convert from RAW to mzML. Philosopher is not optimized for RAW, so it would take a lot longer to run with RAW than mzML (although in your case it seems it is not even an option to use RAW)

From: dnwhdals @.> Sent: Wednesday, September 29, 2021 12:10 PM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471)

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Thank you for your suggestion. The files have been searched by MaxQuant before so I believe it would work on the FragPipe. As you suggested, I will try to convert the files and search it. Please keep an update if you figure it out.

JW

— You are receiving this because you were assigned. Reply to this email directly, view it on GitHubhttps://github.com/Nesvilab/FragPipe/issues/471#issuecomment-930321873, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM6YUB2ZBYTUJCJUR3I3UEM255ANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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[dnwhdals]

Agreed, Alexey.

[anesvi]

Please make sure to sue a recent version of proteowizard/scovert, not more than 6 months old…

From: dnwhdals @.> Sent: Wednesday, September 29, 2021 12:16 PM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471)

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Agreed, Alexey.

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[surendradasari]

Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra

[anesvi]

Can you check you are using the latest philosopher? And also converted to mzML using a recent version of msconvert

From: surendradasari @.> Sent: Monday, October 18, 2021 11:34 AM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471)

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Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra

— You are receiving this because you were assigned. Reply to this email directly, view it on GitHubhttps://github.com/Nesvilab/FragPipe/issues/471#issuecomment-945899297, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64XEWJMH2MLBR7SSJLUHQ45NANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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[surendradasari]

Can you check you are using the latest philosopher? And also converted to mzML using a recent version of msconvert From: surendradasari @.> Sent: Monday, October 18, 2021 11:34 AM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471) External Email - Use Caution Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub<#471 (comment)>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64XEWJMH2MLBR7SSJLUHQ45NANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub. ** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues

Hi, Alexey. Thank your for quick reply. Philosopher is latest. I updated it with the Fragpipe "Download" button. MSConvert maybe older. Please let me redo the conversion with latest PWIZ and see if I can make it through. Best, Surendra

[dnwhdals]

Hi, Surendra.

Recently we resolved the missing purity issue using conversion to mxML. I used this tool to convert the files. Hope this is helpful for you.

JM

[surendradasari]

Can you check you are using the latest philosopher? And also converted to mzML using a recent version of msconvert From: surendradasari @.**> Sent: Monday, October 18, 2021 11:34 AM To: Nesvilab/FragPipe @.**> Cc: Nesvizhskii, Alexey @.**>; Assign @.**> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471) External Email - Use Caution Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub<#471 (comment)>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64XEWJMH2MLBR7SSJLUHQ45NANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub. ** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues

Hi, Alexey. Thank your for quick reply. Philosopher is latest. I updated it with the Fragpipe "Download" button. MSConvert maybe older. Please let me redo the conversion with latest PWIZ and see if I can make it through. Best, Surendra

[surendradasari]

Can you check you are using the latest philosopher? And also converted to mzML using a recent version of msconvert From: surendradasari @.**> Sent: Monday, October 18, 2021 11:34 AM To: Nesvilab/FragPipe @.**> Cc: Nesvizhskii, Alexey @.**>; Assign @.**> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471) External Email - Use Caution Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub<#471 (comment)>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64XEWJMH2MLBR7SSJLUHQ45NANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub. ** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues

Hi, Alexey. Thank your for quick reply. Philosopher is latest. I updated it with the Fragpipe "Download" button. MSConvert maybe older. Please let me redo the conversion with latest PWIZ and see if I can make it through. Best, Surendra

Hi, Alexey. I ran with latest proteowizard and that seems to have fixed the issue. Also, I think the issue may be that I filtered out MS1 scans from the mzML files before giving them to FragPipe. That may have caused the issue I have seen. When I included both MS1 and MS2 in mzML, used latest PWIZ for conversion and latest FragPipe, things seem to have worked OK. Best, Surendra

[anesvi]

Good. Yes, you need MS1 scans too even though it is TMT analysis (that’s how the Purity score is calculated) Best, Alexey

From: surendradasari @.> Sent: Monday, October 18, 2021 3:21 PM To: Nesvilab/FragPipe @.> Cc: Nesvizhskii, Alexey @.>; Assign @.> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471)

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Can you check you are using the latest philosopher? And also converted to mzML using a recent version of msconvert From: surendradasari @.> Sent: Monday, October 18, 2021 11:34 AM To: Nesvilab/FragPipe @**.mailto:_@**._> Cc: Nesvizhskii, Alexey @.*>; Assign @._> Subject: Re: [Nesvilab/FragPipe] "TMT-Integrator can't find the 'Purity' column" (#471https://github.com/Nesvilab/FragPipe/issues/471) External Email - Use Caution Hi, There. I ran into the same issue described here with FragPipe 16.0 (downloaded on 10/18/2021). TMT Integrator complains about "Purity" column missing in the PSM files. Just wondering if issue was fixed. Best, Surendra — You are receiving this because you were assigned. Reply to this email directly, view it on GitHub<#471 (comment)https://github.com/Nesvilab/FragPipe/issues/471#issuecomment-945899297>, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64XEWJMH2MLBR7SSJLUHQ45NANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub. ** Electronic Mail is not secure, may not be read every day, and should not be used for urgent or sensitive issues

Hi, Alexey. Thank your for quick reply. Philosopher is latest. I updated it with the Fragpipe "Download" button. MSConvert maybe older. Please let me redo the conversion with latest PWIZ and see if I can make it through. Best, Surendra

Hi, Alexey. I ran with latest proteowizard and that seems to have fixed the issue. Also, I think the issue may be that I filtered out MS1 scans from the mzML files before giving them to FragPipe. That may have caused the issue I have seen. When I included both MS1 and MS2 in mzML, used latest PWIZ for conversion and latest FragPipe, things seem to have worked OK. Best, Surendra

— You are receiving this because you were assigned. Reply to this email directly, view it on GitHubhttps://github.com/Nesvilab/FragPipe/issues/471#issuecomment-946089108, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AIIMM64EG6XEUUU6DEY6RULUHRXS3ANCNFSM5EYNCRBQ. Triage notifications on the go with GitHub Mobile for iOShttps://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Androidhttps://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

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[rtool1]

Dear FragPipe team and Nesvizhskii Lab,

I'm really grateful for having FragPipe; the tsv outputs are fantastic, and your documentation and the active discussion on GitHub make this a better experience than with MQ.

Pardon me for posting in a closed thread. However, I've run into the "TMT-Integrator can't find the 'Purity' column" error.

• I have always converted SCIEX WIFF's into mzML, with vendor peak picking for msLevel 1-
• I was using the "TMT16" workflow through the GUI

Please find attached my log file, along with a zipped up psm.tsv file; I indeed don't have the Purity column

log_2022-08-22_23-26-25.txt psm.zip

For context, this bottom-up sample set was labeled with the TMTpro 16 reagent. However, to save time on our Eclipse, I'm trying to run a label efficiency test on our SCIEX 7600. With the reduced resolution of the 7600, I'm running the 16 channels in groups of 4. In this particular sample, I've grouped together 127C, 128N, 131C, 132N (i.e. samples-03, -04, -11, and -12). Quantification was done at the MS2 level, and I've set the quant level to MS2 in TMT-Integrator.

Is the "Purity" error due to the fact I have so many "missing" channels? Is there a way to specify just the 4 channels used, if that is indeed the underlying cause of the error?

Down the road, it would be great if we can indeed specify just the channels used, as that would allow us to just maintain the TMTpro16 reagents, while deciding later on if we want to assume the 8-plex vs. 16-plex format depending on our instrument availability and experimental design. Thank you again for your advice. -Eric

[fcyu]

I don't think Philosopher labelquant support the mzML files from SCIEX WIFF. But can let Felipe @prvst to take a look.

Best,

Fengchao

[prvst]

What's the difference from a regular mzML to the "SCIEX WIFF mzML"?

[fcyu]

Some tags/information might be missing or different. But need to take a look at their data to confirm.

Best,

Fengchao

[rtool1]

Hi Felipe and Fengchao, I've converted 60 seconds of data from WIFF to mzML. Would this be of use in your examination 02061014.zip ? Thanks. -Eric

[prvst]

Is your stream data centroided?

[rtool1]

Hi Felipe, The original wiff file only had profile MS1 and MS2 data (please see the attached zoom screenshots). I did use vendor peakpicking at all levels (vendor msLevel=1-) when generating the mzML file. Thanks. -Eri c

[prvst]

It looks like your mzML is still in profile mode.

[rtool1]

Hi Felipe, Would you mind letting me know how you can tell the data is still in profile mode? Thanks. -Eric

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

    <spectrum index="7" id="sample=1 period=1 cycle=9811 experiment=2" defaultArrayLength="2953">
      <cvParam cvRef="MS" accession="MS:1000511" name="ms level" value="2"/>
      <cvParam cvRef="MS" accession="MS:1000580" name="MSn spectrum" value=""/>
      <cvParam cvRef="MS" accession="MS:1000130" name="positive scan" value=""/>
      <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>
      <cvParam cvRef="MS" accession="MS:1000505" name="base peak intensity" value="933.0" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
      <cvParam cvRef="MS" accession="MS:1000504" name="base peak m/z" value="132.139654645472" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
      <cvParam cvRef="MS" accession="MS:1000285" name="total ion current" value="72170.288391034002" unitCvRef="MS" unitAccession="MS:1000131" unitName="number of detector counts"/>
      <cvParam cvRef="MS" accession="MS:1000796" name="spectrum title" value="02061014.8.8. File:&quot;02061014.wiff&quot;, NativeID:&quot;sample=1 period=1 cycle=9811 experiment=2&quot;"/>
      <scanList count="1">
        <cvParam cvRef="MS" accession="MS:1000795" name="no combination" value=""/>
        <scan>
          <cvParam cvRef="MS" accession="MS:1000016" name="scan start time" value="133.369683333333" unitCvRef="UO" unitAccession="UO:0000031" unitName="minute"/>
          <cvParam cvRef="MS" accession="MS:1000616" name="preset scan configuration" value="2"/>
          <scanWindowList count="1">
            <scanWindow>
              <cvParam cvRef="MS" accession="MS:1000501" name="scan window lower limit" value="100.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
              <cvParam cvRef="MS" accession="MS:1000500" name="scan window upper limit" value="2000.0" unitCvRef="MS" unitAccession="MS:1000040" unitName="m/z"/>
            </scanWindow>
          </scanWindowList>
        </scan>
      </scanList>

[fcyu]

Your data is centroid: <cvParam cvRef="MS" accession="MS:1000127" name="centroid spectrum" value=""/>

Best,

Fengchao