Result for 09B6ECC06B25830E6DD0D9200B24030D8DE98DB4

Query result

Key Value
FileName./usr/lib/R/library/Rsolid/R/Rsolid.rdx
FileSize320
MD53D43364CA42E671E4F6D83F6E8272288
SHA-109B6ECC06B25830E6DD0D9200B24030D8DE98DB4
SHA-256AECFDD23AE837528EA5EBE72F5D80409E64998E54192ACF6FA602A002481BB67
SSDEEP6:XtRFZLjoOBpMsMdxVv6reR1u2B5x5SzzeddipHVgng/:X5ZLjTBSsMdxT1u2BVSzCddipHang
TLSHT18EE07D87D0521222F430C1A72B00510E45B8A4C945D0CADA9A296FE74CBA2E9943BD28
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
MD55FAA035B168601BE667E7634791C5925
PackageArchs390
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
PackageRelease7.fc18
PackageVersion0.9.31
SHA-1AA17349E9DC7650E4F023220DEA93919C05E47D3
SHA-256A31FC52E83D756055F1D2BCBA18F22971BDB6D505841804153A2AF76FE9BF5C5