Vertical lossless genomic data compression tools for assembled ...
Collection-based compression using discovered long matching strings
The expected space requirement of our encoding algorithm is sublinear with the collection size, and the compression time complexity is linear with the input ...
Juliano Vieira Martins - Google 学术搜索
Vertical lossless genomic data compression tools for assembled genomes: A systematic literature review. KV Kredens, JV Martins, OB Dordal, M Ferrandin, RH ...
'ERGC: an efficient referential genome compression algorithm ...
Reference-based genome compression using the longest matched substrings with parallelization consideration. · Vertical lossless genomic data compression tools ...
A Novel Lossless Encoding Algorithm for Data Compression - bioRxiv
Proof-of-concept performance was evaluated using a benchmark dataset with seventeen genomes ranging in size from kilobytes to gigabytes. The ...
DNA Lossless Compression Algorithms: Review
DNABIT achieves the best compression ratio for DNA sequences for larger genomes. It significantly improves the running time and achieves better compression ( ...
Kelvin Kredens - Google Scholar
Vertical lossless genomic data compression tools for assembled genomes: A systematic literature review. KV Kredens, JV Martins, OB Dordal, M Ferrandin, RH Herai ...
Data Compression - an overview | ScienceDirect Topics
Reference-based genome sequence compression are based on the analysis of the similarity between a target sequence and a (set of) reference sequence(s). For this ...
The Data Compression Market | Datamation
Instead of removing actual data from the file, lossless compression removes redundant bits of information. ... tools to compress their data into ...
CN106021985A - Genome data compression method
The invention provides a genome data compression method. The method comprises the steps of performing modeling by using second-generation Illumina ...
A Novel Lossless Encoding Algorithm for Data Compression - bioRxiv
Assembled genomes may contain also bases with lowercase that ... The tools cmix, lzb, and Nakamichi could not compress large genomes in.
Our Platform & Applications - GenomSys
GenomSys MPEG-G Genomic Platform · Platform modular components · Cloud-based vertical applications · Mobile-optimized platform · Faster data ...
Rethinking Learning-Based Method for Lossless Genome ... - CoLab
... Lossless Data Compression Using Recurrent Neural Networks. Goyal M., Tatwawadi K., Chandak S., Ochoa I. IEEE. 2019 , citations by CoLab: 45 ...
Algorithmic Advances in Genomic Data Compression, Indexing and ...
I also provide a lower bound on the compression rate achievable on uniformly sampled genomic reads, which is well approximated by AssemblTrie. AssemblTrie ...
(PDF) DNA Lossless Compression Algorithms: Review | Nour Bakr
In this paper, we describe a new lossless compressor with improved compression capabilities for DNA sequences representing different domains and kingdoms. The ...
SeqCompress: An algorithm for biological sequence compression
The algorithm is based on lossless data compression and uses statistical model as well as arithmetic coding to compress DNA sequences. The proposed algorithm is ...
Practical Compression for Multi-Alignment Genomic Files
Keywords: Genomic data, lossless compression, lossy compression, SAM format. 1 Introduction. Next generation sequencing machines produce vast amounts of ...
Image-centric compression of protein structures improves space ...
FASTA files are used for storing both protein and genomic sequence information, and much work has been done to create customized sequence ...
A New Lossless DNA Compression Algorithm Based on A Single ...
A combination of different text compression methods is proposed to compress the genomic data. The improved RLE, proposed in [41], is based ...
Smaller and faster data compression with Zstandard
As a result, it improves upon the trade-offs made by other compression algorithms and has a wide range of applicability with very high ...
An Efficient Horizontal and Vertical Method for DNA Sequence ...
We present a new Lossless Compression algorithm; which compresses data first horizontally and then vertically. It is based on substitution and statistical ...