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RPMPackage R-R.devices-2.17.0-4.fc36.noarch
Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
RPMPackage R-R.cache-0.15.0-3.fc36.noarch
Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
RPMPackage R-IRkernel-1.2-3.fc36.noarch
The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
RPMPackage R-IRdisplay-1.0-4.fc36.noarch
An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') <https://jupyter.org>. Designed to be used from a running 'IRkernel' session <https://irkernel.github.io>.
RPMPackage R-IRanges-2.26.0-3.fc36.x86_64
The IRanges class and its extensions are low-level containers for storing sets of integer ranges. A typical use of these containers in biology is for representing a set of chromosome regions. More specific extensions of the IRanges class will typically allow the storage of additional information attached to each chromosome region as well as a hierarchical relationship between these regions.
RPMPackage R-GenomicRanges-1.44.0-3.fc36.x86_64
The ability to efficiently store genomic annotations and alignments is playing a central role when it comes to analyze high-throughput sequencing data (a.k.a. NGS data). The package defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome.
RPMPackage R-GenomicAlignments-1.28.0-3.fc36.x86_64
Provides efficient containers for storing and manipulating short genomic alignments (typically obtained by aligning short reads to a reference genome). This includes read counting, computing the coverage, junction detection, and working with the nucleotide content of the alignments.
RPMPackage R-GenomeInfoDbData-1.2.6-3.fc36.noarch
Files for mapping between NCBI taxonomy ID and species. Used by functions in the GenomeInfoDb package.
RPMPackage R-GenomeInfoDb-1.28.0-3.fc36.noarch
The Seqnames package contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., "chr1" versus "1"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.
RPMPackage R-FMStable-0.1.2-12.fc36.x86_64
This package implements some basic procedures for dealing with log maximally skew stable distributions, which are also called finite moment log stable distributions.
RPMPackage R-DynDoc-1.70.0-3.fc36.noarch
A set of functions to create and interact with dynamic documents and vignettes.
RPMPackage R-DelayedArray-0.18.0-3.fc36.x86_64
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, and ordinary arrays and data frames.
RPMPackage R-DBI-1.1.1-5.fc36.noarch
A database interface (DBI) definition for communication between R and relational database management systems.
RPMPackage R-Cairo-1.5.12.2-6.fc36.x86_64
R graphics device using cairographics library that can be used to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG, JPEG, TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported.
RPMPackage R-Biostrings-2.60.1-3.fc36.x86_64
Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or set of sequences.
RPMPackage R-BiocParallel-1.26.0-3.fc36.x86_64
This package provides modified versions and novel implementation of functions for parallel evaluation, tailored to use with Bioconductor objects.
RPMPackage R-BiocParallel-1.26.0-3.fc36.x86_64
This package provides modified versions and novel implementation of functions for parallel evaluation, tailored to use with Bioconductor objects.
RPMPackage R-BiocGenerics-0.38.0-3.fc36.noarch
S4 generic functions needed by many other Bioconductor packages.
RPMPackage R-BSgenome-1.60.0-3.fc36.noarch
Infrastructure shared by all the Biostrings-based genome data packages
RPMPackage R-BH-devel-1.78.0.0-2.fc36.noarch
Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking. This package aims to provide the most useful subset of Boost libraries for template use among CRAN package. By placing these libraries in this package, we offer a more efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided.
 
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