Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	04B136D1C401BF252EC01A13A464ABDA
PackageArch	ppc64
PackageDescription	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.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	11.fc20
PackageVersion	0.9.31
SHA-1	3C263388AA59865AFEAA074A414B2B91F74B3B80
SHA-256	C3FD4B2151B7A71BBA25725A225EE08FB72D19438ACFD3AC4803B1F0C4C38AD2

Key	Value
MD5	A765912F72825921DD1C3393A8B3BEF7
PackageArch	s390
PackageDescription	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.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	11.fc20
PackageVersion	0.9.31
SHA-1	F4D63E9B6422FAC0B7C8EB264790AE15445C8CDE
SHA-256	73FDD886549894676616C4C2CEBD8871BA1490357B9D5091EB9743E66DF91AF3

Key	Value
MD5	C3F54F83F49F3739337D4B7D462DB072
PackageArch	ppc
PackageDescription	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.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	11.fc20
PackageVersion	0.9.31
SHA-1	7F5D4F21FD074AF0C9A4505B4D2D3B091CD921EC
SHA-256	41710918E32D9A98F846D4D3A30D346AAF0C868427DDCF63C670AAD113FDBAA9

Key	Value
MD5	EF4436252F452C75482A8196CA664F2B
PackageArch	s390x
PackageDescription	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.
PackageMaintainer	Fedora Project
PackageName	R-Rsolid
PackageRelease	11.fc20
PackageVersion	0.9.31
SHA-1	C708DF44D0E07911820DDA202AC9C62405E55004
SHA-256	E3F940A6BFB4B0A6603DFD9E95EFFA4312D569A981A71AEC5CCA102697081EAF