Evidence map›Paper›PMID 40690708›Full record

ArticleJournal of the American Society for Mass Spectrometry2025

Nova: A Library for Rapid Development of Mass Spectrometry Software Applications.

Michael R Hoopmann, Christopher D McGann, Christopher M Rose, Devin K Schweppe

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michael R HoopmannDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-7029-7792
Christopher D McGannDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.
Christopher M RoseDepartment of Proteomic and Genomic Technologies, Genentech, Inc., South San Francisco, California 94080, United States.ORCID 0000-0002-7502-3368
Devin K SchweppeDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-3241-6276

Funding

Technology for evaluating drug-binding responses to small-molecule perturbationR35GM150919 · NIGMS · UNIVERSITY OF WASHINGTON · PI Devin Karl Schweppe · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM150919
6 · The paper itself

Abstract

Nova is a software library for the reading, writing, and management of mass spectrometry data natively in C# language. It complements similar software libraries ubiquitously used in application development for C++, Python, and Java. C# has few mass spectrometry data analysis software libraries relative to other languages; however, it remains the dominant language of choice for development of real time mass spectrometry (RTMS) analysis and instrument control applications, illustrating the need for native C# libraries when developing RTMS software. Nova provides fast, easy-to-use structures and classes built upon interfaces that support open community standards and are easily extensible for current or future mass spectrometry software development needs.

Indexed as

C#Novareal time mass spectrometrysoftware library

Identifiers

PMID40690708
PMCPMC13220766

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.