Comment on a PREreview of "Seeking community input for: mzPeak - a modern, scalable, and interoperable mass spectrometry data format for the future"

This Zenodo record is a permanently preserved version of a comment on a PREreview. You can view the complete PREreview and comments at https://prereview.org/reviews/14933345. Hi Yasin, Thank you for your review. Here's where we are currently with regards to your questions: "I don't see any discussion of if/how the diversity of vendor formats is addressed. For example, while Thermo numbers scans sequentially Sciex applies a different scan numbering system utilizing 3 different numbers." "Will there be the same flexibility as in mzML files to account for this?" We plan on supporting at minimum the same flexibility as mzML for scans. The idea is to support an arbitrary number of dimensions for in addition to an M/Z to intensity pair. This will allow both ion-mobility and imagining, and has the ancillary benefit of supporting scans numbered along an arbitrary number of coordinates. "Will there be a way to have some superimposed identifier, allowing to retrieve scans based on a scan order irrespective of the numbering system native to the original Vendor?" That's a good idea. I think we should get that out of storing arbitrary dimensions: one of those can be actual acquisition time. I'd need to discuss with the technical folks how that would work. "It is great that this format aims to support metadata relating to hyphenated instruments such as LC pump pressures as well as experimental metadata. One concern I have here is that it sounds like this information will be stored as free text. Will there be dedicated keys to communicate used instruments and/or experimental setups via controlled ontologies?" Yup. We are going to continue to use the PSI-ms-CV (https://github.com/HUPO-PSI/psi-ms-CV) "One of the main challenges when working with mass spectral raw data as a data scientist is that such raw files have to be viewed in relationship to each other (for example samples are run within a sequence and can then be aligned using RT and mz). However such information is often lost once raw data have been stored in a repository. Will there be a key that serves for a sequence identifier?" This is one of the main areas that we want to add metadata beyond what is already typically stored for mzML. We are looking to SDRF-Proteomics as a blueprint for this (https://github.com/bigbio/proteomics-sample-metadata/blob/master/sdrf-proteomics/README.adoc) "Will there be a dedicated key to store a hashed unique identifier - that can be used to deduplicate different open formats of the same raw vendor file?" This is a good idea. Storing a Universal Spectrum Identifier (https://www.psidev.info/usi) is supported in the PSI ontology in mzML already. We can definitely discuss the possibility of including a hash as well "While all mass spectral raw data are originally acquired in profile mode the first thing that usually happens during conversion is to centroid mass peaks to simplify processing and optimize storage space. While this choice is practical — and I don't see this changing in the near future — I think it would be great if the average mass resolution (which can be easily derived from profile raw data) could be stored — maybe per scan in the scan header in a dedicated key." I think this is definitely something that we could add as an optional annotation for a peak. I'll bring it up with the group. Please let me know if you have any other questions or suggestions. Sam Competing interests I am one of the authors on the preprint.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-04
DOI
https://doi.org/10.5281/zenodo.14966957
Primary Topic
Cancer and biochemical research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comment on a PREreview of "Seeking community input for: mzPeak - a modern, scalable, and interoperable mass spectrometry data format for the future"

Zenodo (CERN European Organization for Nuclear Research)
Cancer and biochemical research
article

Comment on a PREreview of "Seeking community input for: mzPeak - a modern, scalable, and interoperable mass spectrometry data format for the future"

article en

Abstract

This Zenodo record is a permanently preserved version of a comment on a PREreview. You can view the complete PREreview and comments at https://prereview.org/reviews/14933345. Hi Yasin, Thank you for your review. Here's where we are currently with regards to your questions: "I don't see any discussion of if/how the diversity of vendor formats is addressed. For example, while Thermo numbers scans sequentially Sciex applies a different scan numbering system utilizing 3 different numbers." "Will there be the same flexibility as in mzML files to account for this?" We plan on supporting at minimum the same flexibility as mzML for scans. The idea is to support an arbitrary number of dimensions for in addition to an M/Z to intensity pair. This will allow both ion-mobility and imagining, and has the ancillary benefit of supporting scans numbered along an arbitrary number of coordinates. "Will there be a way to have some superimposed identifier, allowing to retrieve scans based on a scan order irrespective of the numbering system native to the original Vendor?" That's a good idea. I think we should get that out of storing arbitrary dimensions: one of those can be actual acquisition time. I'd need to discuss with the technical folks how that would work. "It is great that this format aims to support metadata relating to hyphenated instruments such as LC pump pressures as well as experimental metadata. One concern I have here is that it sounds like this information will be stored as free text. Will there be dedicated keys to communicate used instruments and/or experimental setups via controlled ontologies?" Yup. We are going to continue to use the PSI-ms-CV (https://github.com/HUPO-PSI/psi-ms-CV) "One of the main challenges when working with mass spectral raw data as a data scientist is that such raw files have to be viewed in relationship to each other (for example samples are run within a sequence and can then be aligned using RT and mz). However such information is often lost once raw data have been stored in a repository. Will there be a key that serves for a sequence identifier?" This is one of the main areas that we want to add metadata beyond what is already typically stored for mzML. We are looking to SDRF-Proteomics as a blueprint for this (https://github.com/bigbio/proteomics-sample-metadata/blob/master/sdrf-proteomics/README.adoc) "Will there be a dedicated key to store a hashed unique identifier - that can be used to deduplicate different open formats of the same raw vendor file?" This is a good idea. Storing a Universal Spectrum Identifier (https://www.psidev.info/usi) is supported in the PSI ontology in mzML already. We can definitely discuss the possibility of including a hash as well "While all mass spectral raw data are originally acquired in profile mode the first thing that usually happens during conversion is to centroid mass peaks to simplify processing and optimize storage space. While this choice is practical — and I don't see this changing in the near future — I think it would be great if the average mass resolution (which can be easily derived from profile raw data) could be stored — maybe per scan in the scan header in a dedicated key." I think this is definitely something that we could add as an optional annotation for a peak. I'll bring it up with the group. Please let me know if you have any other questions or suggestions. Sam Competing interests I am one of the authors on the preprint.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Cancer and biochemical research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.