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R-GenomicFeatures-1.24.5-1.lbn19.noarch
A set of tools and methods for making and manipulating transcript centric
annotations. With these tools the user can easily download the genomic
locations of the transcripts, exons and cds of a given organism, from either
the UCSC Genome Browser or a BioMart database (more sources will be supported
in the future). This information is then stored in a local database that
keeps track of the relationship between transcripts, exons, cds and genes.
Flexible methods are provided for extracting the desired features in a
convenient format.
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R-GenomicRanges-1.24.2-1.lbn19.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-2.6.1-1.lbn19.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.lbn19.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
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R-IRkernel-0.6.1-1.git659435f.lbn19.noarch
Per default IRkernel::installspec() will install a kernel with the name “ir” and a display name
of “R”. Multiple calls will overwrite the kernel with a kernel spec pointing to the last R
interpreter you called that commands from. You can install kernels for multiple versions of R by
supplying a name and displayname argument to the installspec() call
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R-R6-2.1.3-1.lbn19.noarch
The R6 package allows the creation of classes with reference semantics, similar to R's
built-in reference classes. Compared to reference classes, R6 classes are simpler and
lighter-weight, and they are not built on S4 classes so they do not require the methods
package. These classes allow public and private members, and they support inheritance,
even when the classes are defined in different packages.
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R-RCurl-1.95.4.1-6.lbn19.x86_64
The package allows one to compose general HTTP requests and provides convenient
functions to fetch URIs, get & post forms, etc. and process the results
returned by the Web server. This provides a great deal of control over the
HTTP/FTP/... connection and the form of the request while providing a
higher-level interface than is available just using R socket connections.
Additionally, the underlying implementation is robust and extensive, supporting
FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also
supports cookies, redirects, authentication, etc.
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R-RInside-0.2.13-3.lbn19.x86_64
The RInside packages makes it easier to have "R inside" your C++
application by providing a C++ wrapper class providing the R
interpreter.
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R-RM2-0.0-16.lbn19.noarch
RM2 is a simple package that implements functions
used in revenue management and pricing environments.
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R-ROC-1.48.0-1.lbn19.x86_64
Utilities for ROC with uarray focus.
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