c(
person("Gang", "Wu",, email = "wggucas@gmail.com", role = c("aut", "cre")),
person("Ron", "Anafi",, email = "ranafi@gmail.com", role = c("aut", "ctb")),
person("John", "Hogenesch",, email = "hogenesch@gmail.com", role = c("aut", "ctb")),
person("Michael", "Hughes",, email = "michael.evan.hughes@gmail.com", role = c("aut", "ctb")),
person("Karl", "Kornacker",, email = "kornacker@midohio.twcbc.com", role = c("aut", "ctb")),
person("Xavier", "Li",, email = "haohan.li.97@gmail.com", role = c("aut", "ctb")),
person("Matthew", "Carlucci",, email = "matt.carlucci.96@gmail.com", role = c("aut", "ctb"))
)
There are two functions-meta2d and meta3d for
detecting rhythmic signals from time-series datasets. For analyzing
time-series datasets without individual information, 'meta2d' is
suggested, which could incorporates multiple methods from ARSER,
JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For
analyzing time-series datasets with individual information, 'meta3d' is
suggested, which takes use of any one of these three methods to analyze
time-series data individual by individual and gives out integrated values
based on analysis result of each individual.
Gang Wu [aut, cre],
Ron Anafi [aut, ctb],
John Hogenesch [aut, ctb],
Michael Hughes [aut, ctb],
Karl Kornacker [aut, ctb],
Xavier Li [aut, ctb],
Matthew Carlucci [aut, ctb]

Annotate Mass over Charge Values with Databases and Formula
Prediction
Provides parsing functionality for over 30 metabolomics databases, with most available without having to create an account on given websites.
Once parsed, calculates given adducts and isotope patterns and inserts into one big database which can be used to annotate unknown m/z values.
Furthermore, formulas can be predicted for a given m/z, and these can be matched to ChemSpider or PubChem for further annotation.
Current databases available: HMDB, ChEBI, LMDB, RMDB, BMDB, MCDB, ECMDB, Wikidata, mVOC, VMH, T3DB, Exposome Explorer, FooDB, MetaCyc (requires account), DrugBank (requires account), ReSPECT, MaConDa, Blood Exposome DB, KEGG, SMPDB, LIPID MAPS, MetaboLights, DimeDB, Phenol Explorer, MassBank, YMDB, PAMDB, NANPDB and STOFF.
Featured in the 'MetaboShiny' package (Wolthuis, J. (2019) <doi:10.1101/734236>).
methods, pacman, rcdk, rJava, parallel, pbapply, enviPat,
data.table, RSQLite, DBI, gsubfn, utils, base, stringr,
WikidataQueryServiceR, webchem, openxlsx, jsonlite, R.utils,
KEGGREST, zip, ChemmineR, xml2, stringi, reshape2, Hmisc, httr,
RJSONIO, readxl, cmmr, progress, Rdisop, rlist