BATL: Bayesian annotations for targeted lipidomics

MOTIVATION: Bioinformatic tools capable of annotating, rapidly and reproducibly, large, targeted lipidomic datasets are limited. Specifically, few programs enable high-throughput peak assessment of liquid chromatography–electrospray ionization tandem mass spectrometry data acquired in either selecte...

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Detalles Bibliográficos
Autores principales: Chitpin, Justin G, Surendra, Anuradha, Nguyen, Thao T, Taylor, Graeme P, Xu, Hongbin, Alecu, Irina, Ortega, Roberto, Tomlinson, Julianna J, Crawley, Angela M, McGuinty, Michaeline, Schlossmacher, Michael G, Saunders-Pullman, Rachel, Cuperlovic-Culf, Miroslava, Bennett, Steffany A L, Perkins, Theodore J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896618/
https://www.ncbi.nlm.nih.gov/pubmed/34951624
http://dx.doi.org/10.1093/bioinformatics/btab854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896618/
https://www.ncbi.nlm.nih.gov/pubmed/34951624
http://dx.doi.org/10.1093/bioinformatics/btab854

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