ArticleProteomics2014
The jmzQuantML programming interface and validator for the mzQuantML data standard.
Article in Proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- The mzqLibrary--An open source Java library supporting the HUPO-PSI quantitative proteomics standard.Proteomics · 2015Article
- Representation of selected-reaction monitoring data in the mzQuantML data standard.Proteomics · 2015Article
- Development of data representation standards by the human proteome organization proteomics standards initiative.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- The mzTab data exchange format: communicating mass-spectrometry-based proteomics and metabolomics experimental results to a wider audience.Molecular & cellular proteomics : MCP · 2014Article
- jmzTab: a java interface to the mzTab data standard.Proteomics · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The mzQuantML standard from the HUPO Proteomics Standards Initiative has recently been released, capturing quantitative data about peptides and proteins, following analysis of MS data. We present a Java application programming interface (API) for mzQuantML called jmzQuantML. The API provides robust bridges between Java classes and elements in mzQuantML files and allows random access to any part of the file. The API provides read and write capabilities, and is designed to be embedded in other software packages, enabling mzQuantML support to be added to proteomics software tools (http://code.google.com/p/jmzquantml/). The mzQuantML standard is designed around a multilevel validation system to ensure that files are structurally and semantically correct for different proteomics quantitative techniques. In this article, we also describe a Java software tool (http://code.google.com/p/mzquantml-validator/) for validating mzQuantML files, which is a formal part of the data standard.
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Registered trials
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.