Result for 4BB75D240901CC92A1E2D4D61C2C03EABA16EA18

Query result

Key Value
FileName./usr/lib/R/library/Rsolid/Meta/package.rds
FileSize715
MD5AC361B4DF5CA7A6E36C4E3627DE4C1F1
SHA-14BB75D240901CC92A1E2D4D61C2C03EABA16EA18
SHA-256CA062869BC1BDB9D1893725542F47701A398A97096196DDD1B661D343DD2A8F3
SSDEEP12:Xj270GnpjCf4jkyhytC2PkLPIGGFlpoFJAX1NRjoFmRjNcB/:XaRnNCgj59GFlaFKX1rSmlCp
TLSHT1EC0194A732441DAFF28B06FD002C87AEE851D7E5784E0E9398B03A60B6205B043820DE
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD577F7A6C81C8F07267AE8BAFD7BBEE1F0
PackageArchi686
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.
PackageMaintainerFedora Project
PackageNameR-Rsolid
PackageRelease30.fc32
PackageVersion0.9.31
SHA-1AC2F835791917005B60A4BA4F6ACA616F27C2981
SHA-256956A50E865A272E0006BA6C939A00897CDE4D6FAF74D0B3071208DA78348DE8D