Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Alnasir, Jamie"'
DNA has many valuable characteristics that make it suitable for a long-term storage medium, in particular its durability and high information density. DNA can be stored safely for hundreds of years with virtually no degradation, in contrast to hard d
Externí odkaz:
http://arxiv.org/abs/2205.14437
Autor:
Alnasir, Jamie J.
Publikováno v:
PLoS Comput Biol 17(8): e1009207 (2021)
High-performance computing (HPC) clusters are widely used in-house at scientific and academic research institutions. For some users, the transition from running their analyses on a single workstation to running them on a complex, multi-tenanted clust
Externí odkaz:
http://arxiv.org/abs/2101.06737
Autor:
Alnasir, Jamie J
Publikováno v:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11(1), 9-43 (2022)
The current COVID-19 global pandemic caused by the SARS-CoV-2 betacoronavirus has resulted in over a million deaths and is having a grave socio-economic impact, hence there is an urgency to find solutions to key research challenges. Much of this COVI
Externí odkaz:
http://arxiv.org/abs/2010.04700
The yearly global production of data is growing exponentially, outpacing the capacity of existing storage media, such as tape and disk, and surpassing our ability to store it. DNA storage - the representation of arbitrary information as sequences of
Externí odkaz:
http://arxiv.org/abs/1906.11062
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Alnasir Jamie, Shanahan Hugh P.
Publikováno v:
Journal of Integrative Bioinformatics, Vol 14, Iss 3, Pp 31-46 (2017)
Detecting sources of bias in transcriptomic data is essential to determine signals of Biological significance. We outline a novel method to detect sequence specific bias in short read Next Generation Sequencing data. This is based on determining intr
Externí odkaz:
https://doaj.org/article/debd0021128d4d5b8058bd52441fab3b
Autor:
Alnasir, Jamie J.1 (AUTHOR) j.alnasir@imperial.ac.uk
Publikováno v:
PLoS Computational Biology. 8/5/2021, Vol. 17 Issue 8, p1-9. 9p. 1 Chart, 1 Graph.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Alnasir, Jamie J1 (AUTHOR) jamie.alnasir@icr.ac.uk, Shanahan, Hugh P2 (AUTHOR)
Publikováno v:
Briefings in Bioinformatics. Jan2020, Vol. 21 Issue 1, p96-105. 10p.
Autor:
Alnasir, Jamie
Publikováno v:
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
instname
The current COVID-19 global pandemic caused by the SARS-CoV-2 betacoronavirus has resulted in over a million deaths and is having a grave socio-economic impact, hence there is an urgency to find solutions to key research challenges. Much of this COVI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::1ee722b9d78542f1b9dedf8ac015cab9
http://hdl.handle.net/10366/150222
http://hdl.handle.net/10366/150222