Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sadjad Fakouri Baygi"'
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-8 (2024)
Abstract The majority of tandem mass spectrometry (MS/MS) spectra in untargeted metabolomics and exposomics studies lack any annotation. Our deep learning framework, Integrated Data Science Laboratory for Metabolomics and Exposomics—Mass INTerprete
Externí odkaz:
https://doaj.org/article/d00a6942bcdc4b22a65db7300ff705fd
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Background: An untargeted chemical analysis of bio-fluids provides semi-quantitative data for thousands of chemicals for expanding our understanding about relationships among metabolic pathways, diseases, phenotypes and exposures. During the processi
Externí odkaz:
https://doaj.org/article/09b804d1f63448b1a45cea3a61cce9c9
Autor:
Dinesh Kumar Barupal, Priyanka Mahajan, Sadjad Fakouri-Baygi, Robert O. Wright, Manish Arora, Susan L. Teitelbaum
Publikováno v:
Environment International, Vol 164, Iss , Pp 107240- (2022)
Inter-chemical correlations in metabolomics and exposomics datasets provide valuable information for studying relationships among chemicals reported for human specimens. With an increase in the number of compounds for these datasets, a network graph
Externí odkaz:
https://doaj.org/article/d87b8cf2ebb949558fd467f4713503a7
Publikováno v:
J Proteome Res
Generating comprehensive and high-fidelity metabolomics data matrices from LC/HRMS data remains to be extremely challenging for population-scale large studies (n > 200). Here, we present a new data processing pipeline, the Intrinsic Peak Analysis (ID
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76f7913fd7ce30ec8d793b1e81d34eac
https://doi.org/10.1021/acs.jproteome.2c00120
https://doi.org/10.1021/acs.jproteome.2c00120
Autor:
Junda Ren, Thomas M. Holsen, Brian F. Lantry, Sadjad Fakouri Baygi, Brian C. Weidel, Philip K. Hopke, Bernard S. Crimmins, Adam D. Point, Sujan Fernando
Publikováno v:
Journal of Great Lakes Research. 48:315-325
Per- and polyfluoroalkyl substances (PFAS) are a group of synthetic chemicals detected throughout the environment. To better understand the distribution of PFAS in an aquatic system (the Laurentian Great Lakes), stable isotope enrichment (δ13C and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b2c84f9f3d088428d2534f9c723851f
https://doi.org/10.1016/j.jglr.2021.08.013
https://doi.org/10.1016/j.jglr.2021.08.013
Publikováno v:
bioRxiv
Poor chemical annotation of high-resolution mass spectrometry data limit applications of untargeted metabolomics datasets. Our new software, the Integrated Data Science Laboratory for Metabolomics and Exposomics – Composite Spectra Analysis (IDSL.C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf50b26a1996d5a1b38a1dfda5ba640
https://doi.org/10.1101/2023.02.09.527886
https://doi.org/10.1101/2023.02.09.527886
Autor:
Sadjad Fakouri Baygi, Yashwant Kumar
Reference standards data (/z and RT) for theftp://massive.ucsd.edu/MSV000088661/ ( IROA metabolite standards )
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2da007684c62124652085577d10e127b
Autor:
Sadjad Fakouri Baygi
IDSL.CSAspectra annotation table for DDA spectra ofa test file pool_P1_A1-A12.mzML from theftp://massive.ucsd.edu/MSV000088661/ ( IROA metabolite standards )
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f76e8790266d51cdb2881633f376650
Autor:
Junda Ren, Adam D. Point, Sadjad Fakouri Baygi, Sujan Fernando, Philip K. Hopke, Thomas M. Holsen, Bernard S. Crimmins
Publikováno v:
Environmental pollution (Barking, Essex : 1987). 317
The bioaccumulation and biomagnification of perfluoroalkyl substances (PFAS) in the Lake Erie food web was investigated by analyzing surface water and biological samples including 10 taxa of fish species, 2 taxa of benthos and zooplankton. The carbon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f2b59ada6e1aa5a880ef2db2302522
https://pubmed.ncbi.nlm.nih.gov/36400140
https://pubmed.ncbi.nlm.nih.gov/36400140
Publikováno v:
Environmental Science & Technology. 55:3765-3774
Sport fish fillets and human sera (fish consumers) were collected in the Lake Superior and Lake Michigan basin and screened for novel contaminants using the isotopic profile deconvoluted chromatogram (IPDC) algorithm. The IPDC algorithm was extended
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39dd9d272d954b3b3cb02a03208d007c
https://doi.org/10.1021/acs.est.0c08507
https://doi.org/10.1021/acs.est.0c08507