Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guillermo Dufort y Álvarez"'
Autor:
Martín Rivara-Espasandín, Lucía Balestrazzi, Guillermo Dufort y Álvarez, Idoia Ochoa, Gadiel Seroussi, Pablo Smircich, José Sotelo-Silveira, Álvaro Martín
Motivation The use of high precision for representing quality scores in nanopore sequencing data makes these scores hard to compress and, thus, responsible for most of the information stored in losslessly compressed FASTQ files. This motivates the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff8aa206e00a1982d478f3ed443c5bae
https://doi.org/10.1101/2022.03.03.482048
https://doi.org/10.1101/2022.03.03.482048
Autor:
Pablo Smircich, Gadiel Seroussi, José R. Sotelo-Silveira, Alvaro Martin, Guillermo Dufort y Álvarez, Idoia Ochoa
Publikováno v:
Bioinformatics (Oxford, England).
Motivation Nanopore sequencing technologies are rapidly gaining popularity, in part, due to the massive amounts of genomic data they produce in short periods of time (up to 8.5 TB of data in Results We introduce RENANO, a reference-based lossless dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173ab17556d036483dda99decc492ef0
https://pubmed.ncbi.nlm.nih.gov/34128963
https://pubmed.ncbi.nlm.nih.gov/34128963
Autor:
Pablo Smircich, Guillermo Dufort y Álvarez, Gadiel Seroussi, Idoia Ochoa, Alvaro Martin, José R. Sotelo-Silveira
Nanopore sequencing technologies are rapidly gaining popularity, in part, due to the massive amounts of genomic data they produce in short periods of time (up to 8.5 TB of data in less than 72 hours). In order to reduce the costs of transmission and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a45690b4ddfec4011e2f21509f2ae3a
https://doi.org/10.1101/2021.03.26.437155
https://doi.org/10.1101/2021.03.26.437155
Autor:
José Sotelo, Idoia Ochoa, Pablo Smircich, Alvaro Martin, Guillermo Dufort y Álvarez, Gadiel Seroussi
Publikováno v:
Bioinformatics (Oxford, England). 36(16)
Motivation The amount of genomic data generated globally is seeing explosive growth, leading to increasing needs for processing, storage and transmission resources, which motivates the development of efficient compression tools for these data. Work s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef976903e8dced3cc88ed2050bcae7f
https://pubmed.ncbi.nlm.nih.gov/32470109
https://pubmed.ncbi.nlm.nih.gov/32470109
Autor:
Ignacio Ramirez, Leonardo Steinfeld, Guillermo Dufort y Álvarez, Gadiel Seroussi, Federico Favaro, Juan Pablo Oliver, Julian Oreggioni, Federico Lecumberry, Alvaro Martin
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 12:231-241
This work presents a wireless multichannel electroencephalogram (EEG) recording system featuring lossless and near-lossless compression of the digitized EEG signal. Two novel, low-complexity, efficient compression algorithms were developed and tested
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dfcc3191a70e9a420b5482603f3113e
https://doi.org/10.1109/tbcas.2017.2779324
https://doi.org/10.1109/tbcas.2017.2779324
Autor:
Idoia Ochoa, Pablo Smircich, José Sotelo, Gadiel Seroussi, Guillermo Dufort y Álvarez, Alvaro Martin
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783030179373
IWBBIO (1)
IWBBIO (1)
The research and development of tools for genomic data compression has focused so far on data generated by second-generation sequencing technologies, while third-generation technologies, such as nanopore technologies, have received little attention i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::368d19c334b6f9d0007dbe253b26f35e
https://doi.org/10.1007/978-3-030-17938-0_4
https://doi.org/10.1007/978-3-030-17938-0_4