Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	317836
MD5	56B01BB7967D51F28A513636559229BB
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	A2960FF062A60DAB731FA2C46DFBB5648F192320
SHA-256	9B35F224E738D5A716C40A9C8B4E5E7E7A153F2BE915DF0635EA0BDA0F686B1D

Key	Value
FileSize	348368
MD5	6DE91D9DE477219E2DD2A41957636222
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	43C2EE1AA4A4EB954A7B7DC97E7D4D3A1D7B069E
SHA-256	CF081FBFDAADA366ABA775863166D5C2778CF300496A1DDBF27D2D614E32E0DE

Key	Value
FileSize	932648
MD5	FB860AE1229A4FB834F3D60F1D3E5374
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2build2
SHA-1	47CEA2719F6056F113B3857D484D2CCC9F3A6645
SHA-256	70A7C69D74E2B4E1FDAF71AFE317B94C3BBD342511C1245470BC15F6EE3CE4EC

Key	Value
FileSize	336840
MD5	C970C8E8083373BAC3457005C5046EEE
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	B2596BC97349B5633C62D77DDFD2693B5E738CD4
SHA-256	EC0FCEC0F900E54C48235275AB104AA475AD17BC9FD0D70B9E47A78D42F25127

Key	Value
FileSize	914000
MD5	7CABB8BFEA928E531482F05CE6BD87D2
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2+b1
SHA-1	131ACB69EF1C4BAA1F95183B84D6D2CD8F1FD712
SHA-256	7BFE0A6ACFFC3DEA40B15434248449CB53858A32EB53E0EDF8FB13AB1CFF713B

Key	Value
FileSize	984460
MD5	A685D3BCCE25E1EFD6C97A7462964C14
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2
SHA-1	9E580AB0B227C2745ECD5D53CCA586A12563CDFB
SHA-256	7CA8E754917AB5731A17DF2C247B03EF38DFEA9B6A78A38513E098ABBBBCA6C7

Key	Value
FileSize	934104
MD5	D4618410FCE31093C8821D820DC83880
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2
SHA-1	1701CDFFEFD0B1162E2416BE2F585830055C7A84
SHA-256	DEB960E986F8ED66484D3C8D452A4CC8B75BCAA60AAFFE826DC850C68612C1E8

Key	Value
FileSize	932296
MD5	AAF5F6E213E655C423DE103FAB30187B
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2+b1
SHA-1	3AA864A09A9AB0FC458C8AFEF6BD19F329CF1B33
SHA-256	785798D4D091B9242B3AE610D0959704ECF7F27BA4D75781DE76BF7CBA5ABA2C

Key	Value
FileSize	914856
MD5	A4C87188AECBBF615965FDDADC83510B
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.2+dfsg-2
SHA-1	9441BF319ECB056F688287357BC5FB8972B5ED2C
SHA-256	578B9B32EFE9B0F45EAC4E16E7E769D7F2C2EA58391B8536252AB24091F35244

Key	Value
FileSize	373204
MD5	7BF0CFE762EA75D4CFC0AAF45765CAEF
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	CA15EDABB804779F6567A9789A88FBA4250906C2
SHA-256	6B5EFDA78F4D5E29FADB29D20CF73D983C6CB641B4C1E1472A823F9E0CF20BB0

Key	Value
FileSize	316712
MD5	E3EEFE20C4EA81C9ECCFA35820DB11C5
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	7480D9C0F5CFF91908DFB3A13D271BC74644AA4C
SHA-256	519E27309897F87906BB85F68D8B8D0BC73115A4E58711683E9DC54267246C38

Key	Value
FileSize	301344
MD5	6649BB4FAB0A5CFBF301A16E1FCB9348
PackageDescription	integrated 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	9CE598DE62952B947E4B033E6808B0D0E4E41E4A
SHA-256	AE2CD2E0ACE1AA41CE8DDF3E118F7A9F3ECB9D6CC65A5FF5CB9158D771A2EAA1

Key	Value
FileSize	299772
MD5	E54891136A30F3DF154E8B11CF5A5138
PackageDescription	integrated 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.
PackageMaintainer	Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageName	crac
PackageSection	science
PackageVersion	2.5.0+dfsg-3
SHA-1	74FE55D491B0B6EADC2D11EBB589940D3EF2D20E
SHA-256	49B99004CE5723E04F55A0D017626B3DCF611B6940DD0A15722D1E08C03E13BF