User-Friendly R Interface to Biologic Web Services' API
person(given = "Moosa",
family = "Rezwani",
role = c("aut", "cre", "cph"),
email = "moosa.rezwani@gmail.com")
Currently fully supports miEAA, PANTHER, Reactome, STRING,
and UniProt! The goal of rbioapi is to provide a user-friendly and
consistent interface to biological databases and services; It is
designed in a way that insulates the user from technicalities when it
comes to using API services and creates a unified and
easy-to-implement tool to connect to biological databases and
services. With rbioapi, You are not required to have any prior
technical knowledge. Just fill in a function's arguments and the rest
is handled for you. This an ongoing project. New databases and
services will be implemented periodically to gradually make rbioapi
more comprehensive. Feel free to suggest any databases or services you
often use.

Currently fully supports Enrichr, JASPAR, miEAA, PANTHER,
Reactome, STRING, and UniProt! The goal of rbioapi is to provide a
user-friendly and consistent interface to biological databases and
services: In a way that insulates the user from technicalities of
using web services API and creates a unified and easy-to-use interface
to biological and medical web services. This an ongoing project; New
databases and services will be added periodically. Feel free to
suggest any databases or services you often use.
DT, knitr, png, rmarkdown, testthat (>= 3.0.0)

person(given = "Moosa",
family = "Rezwani",
role = c("aut", "cre"),
email = "moosa.rezwani@gmail.com",
comment = c(ORCID = "0000-0001-6325-4444")
)
Moosa Rezwani [aut, cre] (<https://orcid.org/0000-0001-6325-4444>)

Read/Write, Transform, and Summarize 'BIOM' Data
person("Daniel P.", "Smith",
email = "dansmith@orst.edu",
role  = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0002-2479-2044"))
A toolkit for working with Biological Observation Matrix ('BIOM') files.
Features include reading/writing all 'BIOM' formats, rarefaction, alpha
diversity, beta diversity (including 'UniFrac'), summarizing counts by
taxonomic level, and sample subsetting. Standalone functions for
reading, writing, and subsetting phylogenetic trees are also provided.
All CPU intensive operations are encoded in C with multi-thread support.
magrittr, methods, plyr, Rcpp, RcppParallel, R.utils, rhdf5,
rjson, slam, openxlsx
Daniel P. Smith [aut, cre, cph]
(<https://orcid.org/0000-0002-2479-2044>)