Zobrazeno 1 - 7
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pro vyhledávání: '"Rick Wertenbroek"'
Publikováno v:
PLoS Genetics, Vol 20, Iss 7, p e1011092 (2024)
Haplotype estimation, or phasing, has gained significant traction in large-scale projects due to its valuable contributions to population genetics, variant analysis, and the creation of reference panels for imputation and phasing of new samples. To s
Externí odkaz:
https://doaj.org/article/048bb794ac0f44a79e5458cb4a356983
Autor:
Yann Thoma, Adrien Roux, Sara Grassi, Flavio Mor, Luc Stoppini, Rick Wertenbroek, Marc Olivier Heuschkel
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 15:743-755
In this paper we present SpikeOnChip, a custom embedded platform for neuronal activity recording and online analysis. The SpikeOnChip platform was developed in the context of automated drug testing and toxicology assessments on neural tissue made fro
Publikováno v:
Bioinformatics (Oxford, England). 38(15)
Motivation Generation of genotype data has been growing exponentially over the last decade. With the large size of recent datasets comes a storage and computational burden with ever increasing costs. To reduce this burden, we propose XSI, a file form
Autor:
Yann Thoma, Rick Wertenbroek
Publikováno v:
BIBM
The Pair-HMM forward algorithm is an essential algorithm found in many genomic related analyses. The high number of floating point operations in the algorithm makes it one of the main contributors to the compute time of analysis pipelines. To speed-u
Autor:
Yann Thoma, Rick Wertenbroek
Publikováno v:
AHS
k-mer counting is an essential algorithm found in many genomic related processes. It may seem like a rather trivial task but is in fact computationally expensive due to the sheer amount of data. The ever growing rate at which data is generated in gen
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783319654812
ICA3PP
ICA3PP
High throughput DNA sequencing made individual genome profiling possible and produces very large amounts of data. Today data and associated metadata are stored in FASTQ text file assemblies carrying the information of genome fragments called reads. C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d3290c4fe53fe03811a49ab3623f771
https://doi.org/10.1007/978-3-319-65482-9_41
https://doi.org/10.1007/978-3-319-65482-9_41
Autor:
Rick Wertenbroek, Enrico Petraglio, Yann Thoma, Nicolas Guex, Christian Iseli, Flavio Capitao
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319562575
Lecture Notes in Computer Science
Lecture Notes in Computer Science
Current sequencing machine technology generates very large and redundant volumes of genomic data for each biological sample. Today data and associated metadata are formatted in very large text file assemblies called FASTQ carrying the information of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66bf7a81fb38d253d9e11b43e915e800
https://doi.org/10.1007/978-3-319-56258-2_20
https://doi.org/10.1007/978-3-319-56258-2_20