Result for 003BEB028102F3A300A550AF5369A30CE1A58E83

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiqc/modules/dragen/dragen.py
FileSize3701
MD5AA6E8FAB743D190897A217F31713BABC
SHA-1003BEB028102F3A300A550AF5369A30CE1A58E83
SHA-256ECA53A60CA0D3820B47A928D4254E8F350C61DD30E1F52938BD315F4BD5D6D3C
SSDEEP96:UJAaHXcMaDwAa3a3aaqoac4NoAAFbBQJAPNGxGdtzl2H3gu2nPsi:Tke1QJArFv
TLSHT13B718516BA38195A6B9B0C7874DD61610F698C93BE48685A384D812C2F0CEAC21767EE
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
FileSize613116
MD51600FB57BAB080C25C4B82968D85741E
PackageDescriptionoutput integration for RNA sequencing across tools and samples The sequencing of DNA or RNA with current high-throughput technologies involves an array of tools and these are applied over a range of samples. It is easy to loose oversight. And gathering the data and forwarding them in a readable manner to the individuals who took the samples is a challenge for a tool in itself. Well. Here it is. MultiQC aggregates the output of multiple tools into a single report. . Reports are generated by scanning given directories for recognised log files. These are parsed and a single HTML report is generated summarising the statistics for all logs found. MultiQC reports can describe multiple analysis steps and large numbers of samples within a single plot, and multiple analysis tools making it ideal for routine fast quality control.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamemultiqc
PackageSectionscience
PackageVersion1.11+dfsg-1
SHA-193620EB30487D4AA05F431CBEE0330901BEEC839
SHA-256D7AE59C5ED67BA154A10EC1A668EE8DB4E4C0A0866DB7873601F3E4D6AE41606