Cargando…
Data Streaming for Metabolomics: Accelerating Data Processing and Analysis from Days to Minutes
[Image: see text] The speed and throughput of analytical platforms has been a driving force in recent years in the “omics” technologies and while great strides have been accomplished in both chromatography and mass spectrometry, data analysis times have not benefited at the same pace. Even though pe...
Autores principales: | Montenegro-Burke, J. Rafael, Aisporna, Aries E., Benton, H. Paul, Rinehart, Duane, Fang, Mingliang, Huan, Tao, Warth, Benedikt, Forsberg, Erica, Abe, Brian T., Ivanisevic, Julijana, Wolan, Dennis W., Teyton, Luc, Lairson, Luke, Siuzdak, Gary |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical
Society
2016
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5244434/ https://www.ncbi.nlm.nih.gov/pubmed/27983788 http://dx.doi.org/10.1021/acs.analchem.6b03890 |
Ejemplares similares
-
Smartphone Analytics: Mobilizing the Lab into the
Cloud for Omic-Scale Analyses
por: Montenegro-Burke, J. Rafael, et al.
Publicado: (2016) -
The METLIN small molecule dataset for machine learning-based retention time prediction
por: Domingo-Almenara, Xavier, et al.
Publicado: (2019) -
Bioinformatics: The Next Frontier of Metabolomics
por: Johnson, Caroline H., et al.
Publicado: (2014) -
Interactive XCMS Online: Simplifying Advanced Metabolomic
Data Processing and Subsequent Statistical Analyses
por: Gowda, Harsha, et al.
Publicado: (2014) -
Thermal Degradation of Small Molecules: A Global Metabolomic
Investigation
por: Fang, Mingliang, et al.
Publicado: (2015)