Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Altti Ilari Maarala"'
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255260 (2021)
Computational pan-genomics utilizes information from multiple individual genomes in large-scale comparative analysis. Genetic variation between case-controls, ethnic groups, or species can be discovered thoroughly using pan-genomes of such subpopulat
Externí odkaz:
https://doaj.org/article/b60be0dcea1c4be5aa5b1e912ef8c9de
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255260 (2021)
PLoS ONE
PLoS ONE
Publisher Copyright: Copyright © 2021 Maarala et al. Computational pan-genomics utilizes information from multiple individual genomes in largescale comparative analysis. Genetic variation between case-controls, ethnic groups, or species can be disco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::7ab6dc3552d3fdfb426af9e42b5acb86
https://aaltodoc.aalto.fi/handle/123456789/109139
https://aaltodoc.aalto.fi/handle/123456789/109139
Publikováno v:
Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.
Massive whole-genome genotype reference panels now provide accurate and fast genotyping by imputation for high-resolution genome-wide association (GWA) studies. Imputation-assisted genotyping can increase the genomic coverage of genotypes and thus sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff0fe52510f29c64a13422329be700f
https://doi.org/10.1145/3388440.3414860
https://doi.org/10.1145/3388440.3414860
Publikováno v:
Big Data – BigData 2020 ISBN: 9783030596118
BigData Congress
BigData Congress
High-throughput sequencing (HTS) technologies have enabled rapid sequencing of genomes and large-scale genome analytics with massive data sets. Traditionally, genetic variation analyses have been based on the human reference genome assembled from a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33963c6e34df197f5146798d2690748f
http://hdl.handle.net/10138/322063
http://hdl.handle.net/10138/322063
Publikováno v:
Bioinformatics. 34(6):928-935
Motivation Next Generation Sequencing (NGS) technology enables identification of microbial genomes from massive amount of human microbiomes more rapidly and cheaper than ever before. However, the traditional sequential genome analysis algorithms, too
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5799cd26c775533affa649a30d593991
https://doi.org/10.1093/bioinformatics/btx702
https://doi.org/10.1093/bioinformatics/btx702
Autor:
Altti Ilari Maarala, Pingjiang Li, Mika Rautiainen, Harri Hirvonsalo, Jaakko Sauvola, Jukka Riekki, Xiang Su, Harri Honko, Jarkko Hyysalo
Publikováno v:
COMPUTER. 49(11):49-59
Health applications involve many data sources, individuals, and services that work against guarantees that an individual's personal data will not be used without consent. The proposed privacy-centered architecture integrates data security and semanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a0f1f253173922d47ecdd0e454e6505
https://doi.org/10.1109/MC.2016.337
https://doi.org/10.1109/MC.2016.337
Acquiring knowledge from continuous and heterogeneous data streams is a prerequisite for Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools and applicable methods for representing, integrating, and acquiring know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19bdeaad02e1144e58a70f736b672fce
Publikováno v:
IEEE BigData
Demand for new efficient methods for processing large-scale heterogeneous data in real-time is growing. Currently, one key challenge in Big Data is performing low-latency analysis with real-time data. In vehicle traffic, continuous high speed data st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd7fd2b5d2ce2a26aab2ce26838d0cd6
https://doi.org/10.1109/bigdata.2015.7364101
https://doi.org/10.1109/bigdata.2015.7364101
Publikováno v:
IOT
Semantic technologies could facilitate realizing features like interoperability and reasoning for Internet of Things (IoT). However, the dynamic and heterogeneous nature of IoT data, constrained resources, and real-time requirements set challenges fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b9dde330eb225eb569c77d4a49f553
https://doi.org/10.1109/iot.2014.7030117
https://doi.org/10.1109/iot.2014.7030117