Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Zaid Al-Ars"'
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284493 (2023)
BackgroundNon-Invasive Prenatal Testing is often performed by utilizing read coverage-based profiles obtained from shallow whole genome sequencing to detect fetal copy number variations. Such screening typically operates on a discretized binned repre
Externí odkaz:
https://doaj.org/article/2d1bb8c724af46d38c366ab135de6893
Publikováno v:
BMC Genomics, Vol 21, Iss S10, Pp 1-14 (2020)
Abstract Background Immense improvements in sequencing technologies enable producing large amounts of high throughput and cost effective next-generation sequencing (NGS) data. This data needs to be processed efficiently for further downstream analyse
Externí odkaz:
https://doaj.org/article/f2387718713147ad90d2826f27285ba9
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S13, Pp 1-17 (2020)
Abstract Background In Overlap-Layout-Consensus (OLC) based de novo assembly, all reads must be compared with every other read to find overlaps. This makes the process rather slow and limits the practicality of using de novo assembly methods at a lar
Externí odkaz:
https://doaj.org/article/3a6acb84b405492291b56dd2b3868836
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-16 (2020)
Abstract The practical use of graph-based reference genomes depends on the ability to align reads to them. Performing substring queries to paths through these graphs lies at the core of this task. The combination of increasing pattern length and enco
Externí odkaz:
https://doaj.org/article/0929ce795723466791944e5220ddf9bd
Autor:
Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Moller, Christos Strydis
Publikováno v:
IEEE Access, Vol 8, Pp 121905-121919 (2020)
The Hodgkin-Huxley (HH) neuron is one of the most biophysically-meaningful models used in computational neuroscience today. Ironically, the model's high experimental value is offset by its disproportional computational complexity. To such an extent t
Externí odkaz:
https://doaj.org/article/1cff88185939417fb83523b9be9daaf7
Publikováno v:
IEEE Access, Vol 8, Pp 169957-169965 (2020)
High-level feature maps of Convolutional Neural Networks are computed by reusing their corresponding low-level feature maps, which brings into full play feature reuse to improve the computational efficiency. This form of feature reuse is referred to
Externí odkaz:
https://doaj.org/article/570e81f03be94f55ad83cb08fa19bce5
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-4 (2019)
Following publication of the original article [1], the author requested changes to the figures 4, 7, 8, 9, 12 and 14 to align these with the text. The corrected figures are supplied below.
Externí odkaz:
https://doaj.org/article/5ea0ce5b29b640ce961f098b2e2d0aed
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-20 (2019)
Abstract Background Due the computational complexity of sequence alignment algorithms, various accelerated solutions have been proposed to speedup this analysis. NVBIO is the only available GPU library that accelerates sequence alignment of high-thro
Externí odkaz:
https://doaj.org/article/099aa14c6d8640cb95482a2a5e010bce
Publikováno v:
BMC Genomics, Vol 20, Iss S2, Pp 103-116 (2019)
Abstract Background Pairwise sequence alignment is widely used in many biological tools and applications. Existing GPU accelerated implementations mainly focus on calculating optimal alignment score and omit identifying the optimal alignment itself.
Externí odkaz:
https://doaj.org/article/f81c2b5f49c740c5b14c2e943fda801e
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249850 (2021)
In this article, we present QuASeR, a reference-free DNA sequence reconstruction implementation via de novo assembly on both gate-based and quantum annealing platforms. This is the first time this important application in bioinformatics is modeled us
Externí odkaz:
https://doaj.org/article/7ae53ee3fdd74e28b83892537766064c