Result for 0148B48A5768FC641D76ADC4BF76E1B32256A8CF

Query result

Key Value
FileName./usr/share/doc/crac/examples/test_f/bug/bug-17175.sam
FileSize9922
MD5284DFCB5105E5CEA6547878B9EE23517
SHA-10148B48A5768FC641D76ADC4BF76E1B32256A8CF
SHA-25691BD1CCE69C02E13EF65911C416374EDD13DA2ECE8D7CAB9E7E553692F7C4F24
SSDEEP96:MU4lG0rq2F+xX2F+pRtOxG0rq2F+xX2F+pRtOX2F+xNfp2F+xfLM2F+xcXXhrX2R:MlG0rwteG0rwtujHhjjHhm
TLSHT1BE2246B81E91595724200BE7286F37CA1DC8C102B9493A92FF798F1D9D74653E07F8EA
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
FileSize984460
MD5A685D3BCCE25E1EFD6C97A7462964C14
PackageDescriptionintegrated RNA-Seq read analysis CRAC is a tool to analyze High Throughput Sequencing (HTS) data in comparison to a reference genome. It is intended for transcriptomic and genomic sequencing reads. More precisely, with transcriptomic reads as input, it predicts point mutations, indels, splice junction, and chimeric RNAs (ie, non colinear splice junctions). CRAC can also output positions and nature of sequence error that it detects in the reads. CRAC uses a genome index. This index must be computed before running the read analysis. For this sake, use the command "crac-index" on your genome files. You can then process the reads using the command crac. See the man page of CRAC (help file) by typing "man crac". CRAC requires large amount of main memory on your computer. For processing against the Human genome, say 50 million reads of 100 nucleotide each, CRAC requires about 40 gigabytes of main memory. Check whether the system of your computing server is equipped with sufficient amount of memory before launching an analysis.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamecrac
PackageSectionscience
PackageVersion2.5.2+dfsg-2
SHA-19E580AB0B227C2745ECD5D53CCA586A12563CDFB
SHA-2567CA8E754917AB5731A17DF2C247B03EF38DFEA9B6A78A38513E098ABBBBCA6C7