Add to ORKGThe problem of genomic data compression/decompression is considered. Unlike current research that depends on reference sequence or template, a new hash-based methodology that does not depended on reference sequence is proposed. By applying the hashing formula which was proposed by Reneker and Shyu, 9 bytes of compression gain per zipped read is possible. However the main emphasis in this paper is put on the correction on errors in genomic data decompression that happen if Renker-Shyu formula is applied
The intensive research interest in studying genomes has led to a series of advances in DNA sequencin...
Genome data are becoming increasingly important for modern medicine. As the rate of increase in DNA ...
Over the past few years the amount of digital memory and network traffic used by sequenced biologica...
The problem of genomic data compression/decompression is considered. Unlike current research that de...
Current genomic data compression techniques rely on referent sequence. This means that one sequence...
The exponential growth of high-throughput DNA sequence data has posed great challenges to genomic da...
The increase in memory and in network traffic used and caused by new sequenced biological data has r...
The increasing volume of biological data requires finding new ways to save these data in genetic ban...
BackgroundThe massive quantities of genetic data generated by high-throughput sequencing pose challe...
Abstract:- NP3 is a nucleotide database compression algorithm which takes advantage of the redundanc...
The use of compression techniques in various fields of data management is very encouraging lately. D...
With the advancement in technology and development of High Throughput System (HTS), the amount of ge...
BACKGROUND:The massive quantities of genetic data generated by high-throughput sequencing pose chall...
International audienceEfficiently managing vast DNA datasets necessitates the development of highly ...
Abstract Background Publicly available DNA sequence databases such as GenBank are large, and are gro...
The intensive research interest in studying genomes has led to a series of advances in DNA sequencin...
Genome data are becoming increasingly important for modern medicine. As the rate of increase in DNA ...
Over the past few years the amount of digital memory and network traffic used by sequenced biologica...
The problem of genomic data compression/decompression is considered. Unlike current research that de...
Current genomic data compression techniques rely on referent sequence. This means that one sequence...
The exponential growth of high-throughput DNA sequence data has posed great challenges to genomic da...
The increase in memory and in network traffic used and caused by new sequenced biological data has r...
The increasing volume of biological data requires finding new ways to save these data in genetic ban...
BackgroundThe massive quantities of genetic data generated by high-throughput sequencing pose challe...
Abstract:- NP3 is a nucleotide database compression algorithm which takes advantage of the redundanc...
The use of compression techniques in various fields of data management is very encouraging lately. D...
With the advancement in technology and development of High Throughput System (HTS), the amount of ge...
BACKGROUND:The massive quantities of genetic data generated by high-throughput sequencing pose chall...
International audienceEfficiently managing vast DNA datasets necessitates the development of highly ...
Abstract Background Publicly available DNA sequence databases such as GenBank are large, and are gro...
The intensive research interest in studying genomes has led to a series of advances in DNA sequencin...
Genome data are becoming increasingly important for modern medicine. As the rate of increase in DNA ...
Over the past few years the amount of digital memory and network traffic used by sequenced biologica...