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	D708B0537C8E3BD54C07A6B11D3EF203
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	30.fc32
PackageVersion	0.9.31
SHA-1	9B2DB575A3B1FFCC7B95828846E7B9EED1928940
SHA-256	C34F819FFFCBC2541107A33022E5929FEBE02CB4B42BC5523DE834FA26235A92

Key	Value
MD5	08AC7E140E8BF2F935AB889708F1AE50
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	30.fc32
PackageVersion	0.9.31
SHA-1	908E7A33BA62567A6F3F926B014ABF7583355C58
SHA-256	DF6F445AD60ED966BFE39DE585B7060A4E4F95670C020C06F6BAA8AF34AA3CED

Key	Value
MD5	77F7A6C81C8F07267AE8BAFD7BBEE1F0
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	30.fc32
PackageVersion	0.9.31
SHA-1	AC2F835791917005B60A4BA4F6ACA616F27C2981
SHA-256	956A50E865A272E0006BA6C939A00897CDE4D6FAF74D0B3071208DA78348DE8D