Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	04B61CF68EB545F8F45F8B760C570777
PackageArch	i686
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	34.fc34
PackageVersion	0.9.31
SHA-1	B78615444BEC23063C167EE73D42A139C26AD366
SHA-256	01010C289BAFA840DD98F66CAE3EB66195D71DBEB3569E23D04A4A0BA0E86905

Key	Value
MD5	E7E9516AD910ED713DCD6B5B9C43BB89
PackageArch	armv7hl
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	34.fc34
PackageVersion	0.9.31
SHA-1	0B618871A0FA5C41AEF3EBACAA7D44AAD7743F90
SHA-256	9E888B7F60B2F54B8F681BD529A32428C571F201FAD480A8A2EEC0CD0ED58F36

Key	Value
MD5	28FD23D01BF4AC152F48544B6152CFBF
PackageArch	x86_64
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	34.fc34
PackageVersion	0.9.31
SHA-1	8942C13A17F8EE5498E31AD72E595AF40F6A494C
SHA-256	62B91621A9BE6D4647D21DC4BB209DF30C5B2CEA6E9A3160D8DD335E80CB25BB