Result for 02F3FF034EE509C0DC3695E87256F1D8F4A9B1DA

Query result

Key Value
FileName./usr/share/doc/crac/examples/test_f/bug/bug-16581.sam
FileSize637
MD541DC4A9A09DCB479274FA78141407859
SHA-102F3FF034EE509C0DC3695E87256F1D8F4A9B1DA
SHA-2560048684C65B7DA386172DE6940E4F3300FB9C0461E18DB026F310FDF8F7559AE
SSDEEP12:nC5YQVn/nx4uQvWXb/XZ383vzbLagaiYy16wjWPWIo08n3yLagaoMs8Y:SdZsCbFAbb3aiYy1bi4i3aR8
TLSHT119F07D780D7E54B8A6D2084E7B95AE6DC97C601877816770C919C79D08C89E4F0CB248
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
FileSize301344
MD56649BB4FAB0A5CFBF301A16E1FCB9348
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
PackageVersion2.5.0+dfsg-3
SHA-19CE598DE62952B947E4B033E6808B0D0E4E41E4A
SHA-256AE2CD2E0ACE1AA41CE8DDF3E118F7A9F3ECB9D6CC65A5FF5CB9158D771A2EAA1