Result for 06159C586499D604B5A011C87B399E8F329B4A42

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiqc/templates/default/assets/img/MultiQC_logo.png
FileSize5983
MD52CB9F61F8B8B63EB203E97AC678E5379
SHA-106159C586499D604B5A011C87B399E8F329B4A42
SHA-256C648AC80261E7BD1DCFDA8539F7BE37426038D45F7E086004D6667DCA33B4306
SSDEEP96:S26P1HxWzN48cvHw51Li5Qr9mv4Ee+Egp6JXdtSYeGLDM7S9QQbkEezceZ0n4:S26diNfcvE1i5QAwELLMXd6eQ7S9QQhK
TLSHT1BBC19DA79F55A32BEB005C3510CDB759F80B00117A0EAE9B1802C58C83A2F1FDEB7A13
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize514384
MD5F5B650A4D2C0E312209A3DC78D82C7DB
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamemultiqc
PackageSectionscience
PackageVersion1.9+dfsg-3
SHA-12BE2DB582B2972BD12FFA5AB7299EAAC56DBDC29
SHA-256A43891676F3E45335953F05193640893B4B058D81DF92B02F3997D3621935FB5
Key Value
FileSize514008
MD541DE283DBECDE6D9CF4069ABAAF15D3D
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamemultiqc
PackageSectionscience
PackageVersion1.9+dfsg-2
SHA-1779F5550AD607096885A8DAF7E1F98A93E641D30
SHA-256C65C0867C9D7A79D65CEEED43D007BA60A1C142BBB4A5B370DB62AEF42291C21