Hello Alex,

This is pointing to a bug in either the Waters library for access to the raw 
data or in msconvert. Perhaps you can contact Waters and msconvert developers 
to see if they have patched the problem.  My suspicion as to the nature of the 
problem is use of signed (as opposed to unsigned) variables internally for the 
representation of intensities.  Once the intensities get large enough they roll 
over to the negative representations of the values in C++.  Let us know when 
you find a solution to this issue!

Thanks,
-David

> On Jan 10, 2024, at 4:24 AM, Alex Gao <[email protected]> wrote:
> 
> Hi David, 
> 
> I do not know why. The data was acquired on MassLynx by a Waters Xevo QTOF 
> set to fast DDA, with scan times of MS1 and MS2 set to both 1s with 10 MS2 
> scans. The lockspray mass is also included. The settings, besides the scan 
> times, were not changed from the last time I ran the data, which worked the 
> last time. On MassLynx, the intensities look normal as well, with a dome of 
> increasing intensities over the gradient, typical of bottom up proteomics. Is 
> there a way to solve this? 
> 
> On Wednesday, January 10, 2024 at 1:56:19 AM UTC+1 David Shteynberg wrote:
>> Hello Alex,
>> 
>> I was able to download your file, convert the data to mzML using msconvert 
>> and read a few spectra using the command line tool readMzXml (works on mzML 
>> too).  Unfortunately, I am finding many intensities these files that are 
>> encoded with negative values, which is likely causing problems for the 
>> downstream tools like comet.  Do you know why negative intensities are in 
>> these files?  It is possible this is a bug with the raw encoding.  Are you 
>> able to visualize these files using Waters software to check the intensities 
>> and compare to those output by msconvert?
>> 
>> Thanks,
>> -David
>> 
>> 
>>> On Jan 5, 2024, at 4:17 AM, Alex Gao <[email protected] <>> wrote:
>>> 
>> 
>>> Hi David,
>>> 
>>> Thank you for your prompt feedback! The file can be found at the link 
>>> below. 
>>> 
>>> https://drive.google.com/file/d/1QulcwZ3UP7pcMtECNwubd4DysqaDq4UN/view?usp=sharing
>>> 
>>> Looking forward to your inputs!
>>> 
>>> Best,
>>> Alex
>>> 
>>> On Friday, January 5, 2024 at 1:09:03 AM UTC+1 David Shteynberg wrote:
>>>> Hello Alex,
>>>> 
>>>> Thanks for trying the TPP pipeline to solve your proteomics computational 
>>>> needs.  Sorry, you are having trouble converting and analyzing Waters raw 
>>>> data.  Have you tried using the latest version of msconvert to do the 
>>>> conversion to mzML?  If you are able to upload your file to an online 
>>>> drive and give me access to it, I can pull it down and try to convert it 
>>>> myself.  Let me know what works for you.
>>>> 
>>>> Cheers!
>>>> -David
>>>> 
>>>> 
>>>>> On Jan 3, 2024, at 4:32 AM, Alex Gao <[email protected] <>> wrote:
>>>>> 
>>>> 
>>>>> Hi guys, 
>>>>> 
>>>>> So I've used TPP before to convert bottom up proteomic Thermo raw files 
>>>>> in msconvert, comet search with custom params file, and xinteract to 
>>>>> perform protein prophet with no issues. Earlier this year, I performed 
>>>>> the same with Waters. Raw file, although in the beginning there was an 
>>>>> issue with size, shrinking the size of my raw file from 25 to 5-6GB did 
>>>>> the trick. 
>>>>> 
>>>>> However, recently, I reinstalled TPP (v6.3.3), and was trying to perform 
>>>>> the same task to convert 5-6GB of Waters.raw but failed. msconvert didn't 
>>>>> fail, but comet search was finished in less than 1min, which is not quite 
>>>>> right. And out of the 200,000 spectra in the original file, only 1000 ish 
>>>>> was used for comet search. this obviously leads to an error code of 256 
>>>>> at the xinteract level. 
>>>>> 
>>>>> I tried several different troubleshoots, not changing the default params 
>>>>> file except for location of fasta file, uninstalling and reinstalling, 
>>>>> changing a computer, renaming the FUNC0003 files from my Water.raw 
>>>>> directory for the search, etc. etc., but none work. 
>>>>> 
>>>>> Any help would be much appreciated. Thank you!
>>>>> 
>>>>> Best,
>>>>> Alex
>>>>> 
>>>> 
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