Crumble: reference free lossy compression of sequence quality values
نویسندگان
چکیده
منابع مشابه
QVZ: lossy compression of quality values
MOTIVATION Recent advancements in sequencing technology have led to a drastic reduction in the cost of sequencing a genome. This has generated an unprecedented amount of genomic data that must be stored, processed and transmitted. To facilitate this effort, we propose a new lossy compressor for the quality values presented in genomic data files (e.g. FASTQ and SAM files), which comprise roughly...
متن کاملAdaptive reference-free compression of sequence quality scores
MOTIVATION Rapid technological progress in DNA sequencing has stimulated interest in compressing the vast datasets that are now routinely produced. Relatively little attention has been paid to compressing the quality scores that are assigned to each sequence, even though these scores may be harder to compress than the sequences themselves. By aggregating a set of reads into a compressed index, ...
متن کاملLossy Compression of Quality Values via Rate Distortion Theory
Motivation: Next Generation Sequencing technologies revolutionized many fields in biology by enabling the fast and cheap sequencing of large amounts of genomic data. The ever increasing sequencing capacities enabled by current sequencing machines hold a lot of promise as for the future applications of these technologies, but also create increasing computational challenges related to the analysi...
متن کاملEffect of lossy compression of quality scores on variant calling
Recent advancements in sequencing technology have led to a drastic reduction in genome sequencing costs. This development has generated an unprecedented amount of data that must be stored, processed, and communicated. To facilitate this effort, compression of genomic files has been proposed. Specifically, lossy compression of quality scores is emerging as a natural candidate for reducing the gr...
متن کاملQuantitative Analysis of Image Quality of Lossy Compression Images
High resolution images acquired by an aerial digital camera and high resolution satellite images are expected to become more powerful data source of GIS. Since the large data volume of a high resolution image brings difficulties in dealing with it, lossy image compression is going to be indispensable. Image quality of a reconstructed image after decompression is usually evaluated by visual insp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty608