Result for 1C05B0595C4E5DDC760FE2CB6453586987570F76

Query result

Key Value
FileName./usr/bin/fasta2DAM
FileSize88232
MD529B111A1B1C456CB8CE2AD7961D0DB9D
SHA-11C05B0595C4E5DDC760FE2CB6453586987570F76
SHA-25692958E1D0BE5F3FDDA91EA8F504F022E98711992D173EF02718251BF72EDFE0F
SSDEEP768:7WrAaWyJxlnu1IbG3J4cCUbSajharzzyOGJoF0S5zqk7MLN3z4PZoRwmr3DWi8Hu:72WUxa6ajharzzIjqqvNeS3HWn3pI
TLSHT1BD833A09B9A610FCC196C4708EFF92227D70B8529632AB7F24416B343E5AF791B5DF21
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
FileSize209744
MD51F9C74E90F200A3F410BAEA7D0F5B4AA
PackageDescriptionmanage nucleotide sequencing read data To facilitate the multiple phases of the dazzler assembler, all the read data is organized into what is effectively a database of the reads and their meta-information. The design goals for this data base are as follows: * The database stores the source Pacbio read information in such a way that it can re-create the original input data, thus permitting a user to remove the (effectively redundant) source files. This avoids duplicating the same data, once in the source file and once in the database. * The data base can be built up incrementally, that is new sequence data can be added to the data base over time. * The data base flexibly allows one to store any meta-data desired for reads. This is accomplished with the concept of *tracks* that implementors can add as they need them. * The data is held in a compressed form equivalent to the .dexta and .dexqv files of the data extraction module. Both the .fasta and .quiva information for each read is held in the data base and can be recreated from it. The .quiva information can be added separately and later on if desired. * To facilitate job parallel, cluster operation of the phases of the assembler, the database has a concept of a *current partitioning* in which all the reads that are over a given length and optionally unique to a well, are divided up into *blocks* containing roughly a given number of bases, except possibly the last block which may have a short count. Often programs can be run on blocks or pairs of blocks and each such job is reasonably well balanced as the blocks are all the same size. One must be careful about changing the partition during an assembly as doing so can void the structural validity of any interim block-based results.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamedazzdb
PackageSectionscience
PackageVersion1.0+git20201103.8d98c37-1+deb11u1
SHA-103A15530972D8E5118F316404A11603D69E1BE13
SHA-256CD9D950C61320CC1075345393847D025535E803FBA921A3DDC1029437F4DE3D3
Key Value
FileSize209560
MD539C495A979143A973F3F3AD4CDB3DC52
PackageDescriptionmanage nucleotide sequencing read data To facilitate the multiple phases of the dazzler assembler, all the read data is organized into what is effectively a database of the reads and their meta-information. The design goals for this data base are as follows: * The database stores the source Pacbio read information in such a way that it can re-create the original input data, thus permitting a user to remove the (effectively redundant) source files. This avoids duplicating the same data, once in the source file and once in the database. * The data base can be built up incrementally, that is new sequence data can be added to the data base over time. * The data base flexibly allows one to store any meta-data desired for reads. This is accomplished with the concept of *tracks* that implementors can add as they need them. * The data is held in a compressed form equivalent to the .dexta and .dexqv files of the data extraction module. Both the .fasta and .quiva information for each read is held in the data base and can be recreated from it. The .quiva information can be added separately and later on if desired. * To facilitate job parallel, cluster operation of the phases of the assembler, the database has a concept of a *current partitioning* in which all the reads that are over a given length and optionally unique to a well, are divided up into *blocks* containing roughly a given number of bases, except possibly the last block which may have a short count. Often programs can be run on blocks or pairs of blocks and each such job is reasonably well balanced as the blocks are all the same size. One must be careful about changing the partition during an assembly as doing so can void the structural validity of any interim block-based results.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamedazzdb
PackageSectionscience
PackageVersion1.0+git20201103.8d98c37-1
SHA-1D3BD52A47A9A2A61D8F3D224E5A5A92146B57DF5
SHA-256FEC572E5D11AB69821F85941E70BE50C3F84F96921014D0A0066A3A258390538