DESCRIPTION

Package: rmams
Title: R Matrix and Analysis Metadata Standards
Version: 1.0.1
Authors@R: 
    c(
    person(given="Irzam", family="Sarfraz", email="isarfraz@bu.edu", role=c("aut"),
                    comment = c(ORCID = "0000-0001-8121-792X")),
    person(given="Ming", family="Liu", email="mingl@bu.edu", role=c("aut")),
    person(given="Salam", family="Alabdullatif", email="salamha@bu.edu", role=c("aut")),
    person(given="Yusuke", family="Koga", email="ykoga07@bu.edu", role=c("aut")),
    person(given="Amulya", family="Shastry", email="shastrya@bu.edu", role=c("aut"), comment = c(ORCID="0009-0007-8866-2357")),
    person(given="Natasha", family="Gurevich", email="nqg@bu.edu", role=c("aut")),
    person(given="Junxiang",family="Xu",email="junxiang@bu.edu",role=c("aut")),
    person(given="Tomoki",family="Motegi",email="tmotegi@bu.edu", role=c("aut")),
    person(given="Jingwen",family="Xu",email="xjw@bu.edu", role=c("aut")),
    person(given="Tao",family="Guo",email="taoguo@bu.edu", role=c("aut")),
    person(given=c("Joshua", "David"), family="Campbell", email="camp@bu.edu", role=c("aut", "cre"),
             comment = c(ORCID = "0000-0003-0780-8662"))
             )
Depends: 
    R (>= 3.5.0)
Imports:
    SeuratObject,
    jsonlite,
    methods,
    rmdformats,
    anndata,
    SingleCellExperiment,
    DropletUtils,
    scater,
    AnnotationDbi,
    org.Hs.eg.db
Suggests:
    Seurat (>= 4.0),
    scran
Description: Many molecular datasets are being generated across cancer types that contain multi-modal data collected from longitudinally- and spatially-related biological specimens. A major roadblock to this goal is that the data is stored in a wide variety of file formats or programming language-specific libraries, classes, or data structures. Although a wide range of experimental protocols and platforms are available, an important commonality across these technologies is that they often produce a matrix of features that are measured in a set of observations. In order to facilitate data sharing across groups and technologies, and assays, and to promote interoperability between down-stream analysis tools, a detailed data schema describing the characteristics of FOMs has been developed and will serve a standard useful for the community.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
URL: https://single-cell-mams.github.io/rmams/