Zobrazeno 1 - 5
of 5
pro vyhledávání: '"080301 Bioinformatics Software"'
Autor:
Wayne Kelly, Flavia Huygens, James M. Hogan, Dimitri Perrin, Shlomo Geva, Stephen Rudd, Timothy Chappell, Irani Rathnayake
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S20, Pp 79-93 (2018)
BMC Bioinformatics
BMC Bioinformatics
Background Sequencing highly-variable 16S regions is a common and often effective approach to the study of microbial communities, and next-generation sequencing (NGS) technologies provide abundant quantities of data for analysis. However, the speed o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df47210c781a78d9915a5d6182f455f5
http://link.springer.com/article/10.1186/s12859-018-2540-4
http://link.springer.com/article/10.1186/s12859-018-2540-4
Publikováno v:
OZCHI
Rapid advances in sequencing technologies (Next Generation Sequencing or NGS) have led to a vast increase in the quantity of bioinformatics data available, with this increasing scale presenting enormous challenges to researchers seeking to identify c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b5eda47905242d0c3bd66b2537e4d2
https://doi.org/10.1145/2838739.2838829
https://doi.org/10.1145/2838739.2838829
Publikováno v:
Journal of Materials Science: Materials in Medicine
There is a pressing need for a predictive tool capable of revealing a holistic understanding of fundamental elements in the normal and pathological cell physiology of organoids in order to decipher the mechanoresponse of cells. Therefore, the integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e973777beff12fa85b171a718871e19
https://igi.indrastra.com/items/show/37739
https://igi.indrastra.com/items/show/37739
Publikováno v:
BMC Bioinformatics
Background Small RNA sequencing is commonly used to identify novel miRNAs and to determine their expression levels in plants. There are several miRNA identification tools for animals such as miRDeep, miRDeep2 and miRDeep*. miRDeep-P was developed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84668ec0faa996405ac7486f3c01ec68
https://doi.org/10.1186/1471-2105-15-275
https://doi.org/10.1186/1471-2105-15-275
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e57225 (2013)
PLoS ONE
PLOS ONE
PLoS ONE
PLOS ONE
BackgroundPredicting protein subnuclear localization is a challenging problem. Some previous works based on non-sequence information including Gene Ontology annotations and kernel fusion have respective limitations. The aim of this work is twofold: o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d03ecf71416858c18016174e74ff8d4
https://doi.org/10.1371/journal.pone.0057225
https://doi.org/10.1371/journal.pone.0057225