Result for 008BF7FB72898D40AA53D2374C6D391B1815B041

Query result

Key Value
FileName./usr/lib/python3/dist-packages/multiqc/modules/deeptools/estimateReadFiltering.py
FileSize7382
MD5290D231FAD13B6B50EB07AEBF8F396A0
SHA-1008BF7FB72898D40AA53D2374C6D391B1815B041
SHA-25621728E14A832A153A232F35240E0B3A05F22CB14CF148E8D0D8D403D80A5FC2B
SSDEEP192:+l4ZRvRsVRMKRBRBwRURNRyEPuVXqocfV9IT+saSmMgUXmS:zvVqoKvIT+/EV
TLSHT106E120918953129E1A4B54BFAC2F610A37F545E35F623418BC7D840D2F8A0ADC2F5EB8
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize554148
MD52FC142BA57878279134253597A15DF42
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
PackageVersion1.9+dfsg-3
SHA-17B26D3510BB9D6A74B4BF6E4FAEFDEE1515C852D
SHA-2560E6B4B63E61B2A14885E24CA40135616C7FCCF9F6331578C83B5E2C0FEDE6397
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