Calculation of molecular number and brightness from
    fluorescence microscopy image series. The software was published in a
    2016 paper <doi:10.1093/bioinformatics/btx434>. The seminal paper for
    the technique is Digman et al. 2008 <doi:10.1529/biophysj.107.114645>.
    A review of the technique was published in 2017
    <doi:10.1016/j.ymeth.2017.12.001>.

Missing values are ubiquitous in data and need to be explored and
    handled in the initial stages of analysis. 'naniar' provides data 
    structures and functions that facilitate the plotting of missing values and 
    examination of imputations. This allows missing data dependencies to be 
    explored with minimal deviation from the common work patterns of 'ggplot2' 
    and tidy data. The work is fully discussed at Tierney & Cook (2023) 
    <doi:10.18637/jss.v105.i07>.

Provides an 'R' interface to the 'nanoarrow' 'C' library and the
  'Apache Arrow' application binary interface. Functions to import and
  export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures
  to and from 'R' objects are provided alongside helpers to facilitate zero-copy
  data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C'
  data interface.

R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is
    a socket library implementing 'Scalability Protocols', a reliable,
    high-performance standard for common communications patterns including
    publish/subscribe, request/reply and service discovery, over in-process,
    IPC, TCP, WebSocket and secure TLS transports. As its own threaded
    concurrency framework, provides a toolkit for asynchronous programming and
    distributed computing, with intuitive 'aio' objects which resolve
    automatically upon completion of asynchronous operations, and
    synchronisation primitives allowing R to wait upon events signalled by
    concurrent threads.

Provides quality control (QC), normalization, and batch
    effect correction operations for 'NanoString nCounter' data, Talhouk
    et al. (2016) <doi:10.1371/journal.pone.0153844>.  Various metrics are
    used to determine which samples passed or failed QC.  Gene expression
    should first be normalized to housekeeping genes, before a
    reference-based approach is used to adjust for batch effects.  Raw
    NanoString data can be imported in the form of Reporter Code Count
    (RCC) files.