ArticleMetabolomics : Official journal of the Metabolomic Society2012
MetAlign 3.0: performance enhancement by efficient use of advances in computer hardware.
Article in Metabolomics : Official journal of the Metabolomic Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
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- A robust method of extraction and GC-MS analysis of Monophenols exhibited UV-B mediated accumulation in Arabidopsis.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Article
- Plants Metabolome Study: Emerging Tools and Techniques.Plants (Basel, Switzerland) · 2021Review
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- iTRAQ-based proteome profiling revealed the role of Phytochrome A in regulating primary metabolism in tomato seedling.Scientific reports · 2021Article
- Single cell metabolomics using mass spectrometry: Techniques and data analysis.Analytica chimica acta · 2021Review
- Liquid Chromatography-Mass Spectrometry for Clinical Metabolomics: An Overview.Advances in experimental medicine and biology · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A new, multi-threaded version of the GC-MS and LC-MS data processing software, metAlign, has been developed which is able to utilize multiple cores on one PC. This new version was tested using three different multi-core PCs with different operating systems. The performance of noise reduction, baseline correction and peak-picking was 8-19 fold faster compared to the previous version on a single core machine from 2008. The alignment was 5-10 fold faster. Factors influencing the performance enhancement are discussed. Our observations show that performance scales with the increase in processor core numbers we currently see in consumer PC hardware development.
Identifiers
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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.