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R-Cairo-1.5.9-3.lbn25.x86_64
Cairo graphics device that can be use 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.
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R-FMStable-0.1.2-1.lbn25.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-GenomicAlignments-1.14.1-1.lbn25.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-1.30.3-1.lbn25.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-2.12.0-1.lbn25.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-0.4.4-1.lbn25.noarch
IPython display machinery for R
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R-IRkernel-0.8.11-1.lbn25.noarch
R kernel for Jupyter
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R-R.cache-0.13.0-1.lbn25.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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R-R.devices-2.15.1-2.lbn25.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.
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R-R.methodsS3-1.7.1-2.lbn25.noarch
Methods that simplify the setup of S3 generic functions and S3 methods.
Major effort has been made in making definition of methods as simple as
possible with a minimum of maintenance for package developers. For
example, generic functions are created automatically, if missing, and
naming conflict are automatically solved, if possible. The method
setMethodS3() is a good start for those who in the future may want to
migrate to S4. This is a cross-platform package implemented in pure R
that generates standard S3 methods.
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