Result for 0093F72E88241911EB1B24D3655F3DF9CD6FA693

Query result

Key Value
FileName./usr/share/doc/crac/examples/test_f/causes/genome.ssa
FileSize7371
MD5B4329AA686DCB3AAB33593F2B4264AD8
SHA-10093F72E88241911EB1B24D3655F3DF9CD6FA693
SHA-256E4A4428CD6546458F7B2B633C5790D3B7E15D4D10E758D5B2C226666CE3F998C
SSDEEP48:2n/J4hQyoBdln2Enjzj7qOXkrR8mTSffblL30wnYNVAeqaAC7jMjh:2Bb5Bd92ujzvqXrR8fRL3PuV0c7jMjh
TLSHT1A8E1B50F9BD54EC7D02E0DB5448B9B5C25ABDD354B120603DA387D2B6EB62B43B81E78
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize932648
MD5FB860AE1229A4FB834F3D60F1D3E5374
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-2build2
SHA-147CEA2719F6056F113B3857D484D2CCC9F3A6645
SHA-25670A7C69D74E2B4E1FDAF71AFE317B94C3BBD342511C1245470BC15F6EE3CE4EC
Key Value
FileSize914000
MD57CABB8BFEA928E531482F05CE6BD87D2
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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamecrac
PackageSectionscience
PackageVersion2.5.2+dfsg-2+b1
SHA-1131ACB69EF1C4BAA1F95183B84D6D2CD8F1FD712
SHA-2567BFE0A6ACFFC3DEA40B15434248449CB53858A32EB53E0EDF8FB13AB1CFF713B
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
Key Value
FileSize934104
MD5D4618410FCE31093C8821D820DC83880
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-11701CDFFEFD0B1162E2416BE2F585830055C7A84
SHA-256DEB960E986F8ED66484D3C8D452A4CC8B75BCAA60AAFFE826DC850C68612C1E8
Key Value
FileSize932296
MD5AAF5F6E213E655C423DE103FAB30187B
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.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamecrac
PackageSectionscience
PackageVersion2.5.2+dfsg-2+b1
SHA-13AA864A09A9AB0FC458C8AFEF6BD19F329CF1B33
SHA-256785798D4D091B9242B3AE610D0959704ECF7F27BA4D75781DE76BF7CBA5ABA2C
Key Value
FileSize914856
MD5A4C87188AECBBF615965FDDADC83510B
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-19441BF319ECB056F688287357BC5FB8972B5ED2C
SHA-256578B9B32EFE9B0F45EAC4E16E7E769D7F2C2EA58391B8536252AB24091F35244