Result for 0BD6B0D7384E910F58C556BA37ADDFA10CCEB9D4

Query result

Key Value
FileName./usr/share/doc/crac/examples/test_f/causes/genome.ssa.gz
FileSize2288
MD5B7AAA46EB6D57B0F5E2312EC50727CFB
SHA-10BD6B0D7384E910F58C556BA37ADDFA10CCEB9D4
SHA-25649F66C12B3BDC4BEAE4F458E68B968C8E70B08E0464D8ECDF028F684C687C4B9
SSDEEP48:Xgwmxaz7a4vwl2s1PQsUbSe6uysKGWWW4+QEZHAqe9Sh+b+FrAP:wz4vDvGlPQxbN6uLKGW4+QE9GShZ1A
TLSHT196414D863EF4064601702D921322BE2D709EE72835F097618F6AC464D7FA491FD417D9
hashlookup:parent-total7
hashlookup:trust85

Network graph view

Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize348368
MD56DE91D9DE477219E2DD2A41957636222
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
PackageVersion2.5.0+dfsg-3
SHA-143C2EE1AA4A4EB954A7B7DC97E7D4D3A1D7B069E
SHA-256CF081FBFDAADA366ABA775863166D5C2778CF300496A1DDBF27D2D614E32E0DE
Key Value
FileSize336840
MD5C970C8E8083373BAC3457005C5046EEE
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
PackageVersion2.5.0+dfsg-3
SHA-1B2596BC97349B5633C62D77DDFD2693B5E738CD4
SHA-256EC0FCEC0F900E54C48235275AB104AA475AD17BC9FD0D70B9E47A78D42F25127
Key Value
FileSize373204
MD57BF0CFE762EA75D4CFC0AAF45765CAEF
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-1CA15EDABB804779F6567A9789A88FBA4250906C2
SHA-2566B5EFDA78F4D5E29FADB29D20CF73D983C6CB641B4C1E1472A823F9E0CF20BB0
Key Value
FileSize316712
MD5E3EEFE20C4EA81C9ECCFA35820DB11C5
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
PackageVersion2.5.0+dfsg-3
SHA-17480D9C0F5CFF91908DFB3A13D271BC74644AA4C
SHA-256519E27309897F87906BB85F68D8B8D0BC73115A4E58711683E9DC54267246C38
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
Key Value
FileSize317836
MD556B01BB7967D51F28A513636559229BB
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-1A2960FF062A60DAB731FA2C46DFBB5648F192320
SHA-2569B35F224E738D5A716C40A9C8B4E5E7E7A153F2BE915DF0635EA0BDA0F686B1D
Key Value
FileSize299772
MD5E54891136A30F3DF154E8B11CF5A5138
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
PackageVersion2.5.0+dfsg-3
SHA-174FE55D491B0B6EADC2D11EBB589940D3EF2D20E
SHA-25649B99004CE5723E04F55A0D017626B3DCF611B6940DD0A15722D1E08C03E13BF