output
20122016
most citedLarge-scale compression of genomic sequence databases with the Burrows-Wheeler transform

145 citations

8 papers

cs.DS2016★ 2 cited

RLZAP: Relative Lempel-Ziv with Adaptive Pointers

Anthony J. Cox, Andrea Farruggia, Travis Gagie +2

Relative Lempel-Ziv (RLZ) is a popular algorithm for compressing databases of genomes from individuals of the same species when fast random access is desired. With Kuruppu et al.'s…

cs.DS2016★ 24 cited

Lightweight LCP Construction for Very Large Collections of Strings

Anthony J. Cox, Fabio Garofalo, Giovanna Rosone +1

The longest common prefix array is a very advantageous data structure that, combined with the suffix array and the Burrows-Wheeler transform, allows to efficiently compute some com…

q-bio.GN2014

BEETL-fastq: a searchable compressed archive for DNA reads

Lilian Janin, Ole Schulz-Trieglaff, Anthony J. Cox

Motivation: FASTQ is a standard file format for DNA sequencing data which stores both nucleotides and quality scores. A typical sequencing study can easily generate hundreds of gig…

cs.DS2013★ 43 cited

Lightweight LCP Construction for Next-Generation Sequencing Datasets

Markus J. Bauer, Anthony J. Cox, Giovanna Rosone +1

The advent of "next-generation" DNA sequencing (NGS) technologies has meant that collections of hundreds of millions of DNA sequences are now commonplace in bioinformatics. Knowing…

q-bio.GN2013★ 1 cited

Adaptive reference-free compression of sequence quality scores

Lilian Janin, Giovanna Rosone, Anthony J. Cox

Motivation: Rapid technological progress in DNA sequencing has stimulated interest in compressing the vast datasets that are now routinely produced. Relatively little attention has…

q-bio.GN2013★ 12 cited

Comparing DNA sequence collections by direct comparison of compressed text indexes

Anthony J. Cox, Tobias Jakobi, Giovanna Rosone +1

Popular sequence alignment tools such as BWA convert a reference genome to an indexing data structure based on the Burrows-Wheeler Transform (BWT), from which matches to individual…