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R-DynDoc-1.70.0-3.fc36.noarch
A set of functions to create and interact with dynamic documents and
vignettes.
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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.
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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.
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R-GenomeInfoDbData-1.2.6-3.fc36.noarch
Files for mapping between NCBI taxonomy ID and species. Used by functions
in the GenomeInfoDb package.
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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.
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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.
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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.
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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>.
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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.
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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).
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