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R-roxygen2-6.0.1-1.lbn25.x86_64
Generate your Rd documentation, 'NAMESPACE' file, and collation field using
specially formatted comments. Writing documentation in-line with code makes it
easier to keep your documentation up-to-date as your requirements change.
'Roxygen2' is inspired by the 'Doxygen' system for C++.
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R-roxygen2-7.1.2-2.fc36.x86_64
Generate your Rd documentation, 'NAMESPACE' file, and collation field using
specially formatted comments. Writing documentation in-line with code makes it
easier to keep your documentation up-to-date as your requirements change.
'Roxygen2' is inspired by the 'Doxygen' system for C++.
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BastionLinux 36
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R-rprintf-0.2.1-2.lbn25.noarch
Provides a set of functions to facilitate building formatted strings under
various replacement rules: C-style formatting, variable-based formatting,
and number-based formatting. C-style formatting is basically identical to
built-in function 'sprintf'. Variable-based formatting allows users to put
variable names in a formatted string which will be replaced by variable
values. Number-based formatting allows users to use index numbers to
represent the corresponding argument value to appear in the string.
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BastionLinux 25
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R-rprintf-0.2.1-14.fc36.noarch
Provides a set of functions to facilitate building formatted strings under
various replacement rules: C-style formatting, variable-based formatting,
and number-based formatting. C-style formatting is basically identical to
built-in function 'sprintf'. Variable-based formatting allows users to put
variable names in a formatted string which will be replaced by variable
values. Number-based formatting allows users to use index numbers to
represent the corresponding argument value to appear in the string.
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BastionLinux 36
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R-rprojroot-1.2-2.lbn25.noarch
Robust, reliable and flexible paths to files below a project root. The
'root' of a project is defined as a directory that matches a certain
criterion, e.g., it contains a certain regular file.
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BastionLinux 25
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R-rprojroot-2.0.2-6.fc36.noarch
Robust, reliable and flexible paths to files below a project root. The
'root' of a project is defined as a directory that matches a certain
criterion, e.g., it contains a certain regular file.
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BastionLinux 36
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R-Rsamtools-1.24.0-1.lbn19.x86_64
This package provides an interface to the 'samtools', 'bcftools',
and 'tabix' utilities (see 'LICENCE') for manipulating SAM
(Sequence Alignment / Map), binary variant call (BCF) and
compressed indexed tab-delimited (tabix) files.
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BastionLinux 19
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R-Rsamtools-1.28.0-3.lbn25.x86_64
This package provides an interface to the 'samtools', 'bcftools',
and 'tabix' utilities (see 'LICENCE') for manipulating SAM
(Sequence Alignment / Map), binary variant call (BCF) and
compressed indexed tab-delimited (tabix) files.
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BastionLinux 25
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R-Rsamtools-2.8.0-3.fc36.x86_64
This package provides an interface to the 'samtools', 'bcftools',
and 'tabix' utilities (see 'LICENCE') for manipulating SAM
(Sequence Alignment / Map), binary variant call (BCF) and
compressed indexed tab-delimited (tabix) files.
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BastionLinux 36
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R-Rsolid-0.9.31-18.lbn19.x86_64
Rsolid is an R package for normalizing fluorescent intensity data from
ABI/SOLiD second generation sequencing platform. It has been observed
that the color-calls provided by factory software contain technical
artifacts, where the proportions of colors called are extremely
variable across sequencing cycles. Under the random DNA fragmentation
assumption, these proportions should be equal across sequencing cycles
and proportional to the dinucleotide frequencies of the sample.
Rsolid implements a version of the quantile normalization algorithm
that transforms the intensity values before calling colors. Results
show that after normalization, the total number of mappable reads
increases by around 5%, and number of perfectly mapped reads increases
by 10%. Moreover a 2-5% reduction in overall error rates is observed,
with a 2-6% reduction in the rate of valid adjacent color
mis-matches. The latter is important, since it leads to a decrease in
false-positive SNP calls.
The normalization algorithm is computationally efficient. In a test we
are able to process 300 million reads in 2 hours using 10 computer
cluster nodes. The engine functions of the package are written in C
for better performance.
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