Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Almeida, Jonas S"'
Publikováno v:
Algorithms for Molecular Biology, Vol 7, Iss 1, p 12 (2012)
Abstract Background The dramatic fall in the cost of genomic sequencing, and the increasing convenience of distributed cloud computing resources, positions the MapReduce coding pattern as a cornerstone of scalable bioinformatics algorithm development
Externí odkaz:
https://doaj.org/article/e72f1756172f42d482e9b6bac417b6e6
Autor:
de Lencastre Hermínia, Maass Wolfgang, Stanislaus Romesh, Miragaia Maria, Correa Miriã C, Deus Helena F, Fox Ronan, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 285 (2011)
Abstract Background The value and usefulness of data increases when it is explicitly interlinked with related data. This is the core principle of Linked Data. For life sciences researchers, harnessing the power of Linked Data to improve biological di
Externí odkaz:
https://doaj.org/article/45873f0f360b4066abbe12877bfcb8cc
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 387 (2010)
Abstract Background Biomedical research is set to greatly benefit from the use of semantic web technologies in the design of computational infrastructure. However, beyond well defined research initiatives, substantial issues of data heterogeneity, so
Externí odkaz:
https://doaj.org/article/9a50ebc1f2e8496ab26d559e64587fbe
Publikováno v:
BMC Research Notes, Vol 2, Iss 1, p 72 (2009)
Abstract Background In the last decades, with the successive availability of whole genome sequences, many research efforts have been made to mathematically model DNA. Entropic Profiles (EP) were proposed recently as a new measure of continuous entrop
Externí odkaz:
https://doaj.org/article/845c1629865742b48910449e364e8f42
Autor:
Vinga Susana, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 100 (2009)
Abstract Background Representing symbolic sequences graphically using iterated maps has enjoyed an enduring popularity since it was first proposed in Jeffrey 1990 as chaos game representation (CGR). The usefulness of this representation goes beyond t
Externí odkaz:
https://doaj.org/article/c7afe5c6e9244f43bea58319b6a55a5d
RPPAML/RIMS: A metadata format and an information management system for reverse phase protein arrays
Autor:
Hennessy Bryan T, Coombes Kevin, Deus Helena F, Carey Mark, Stanislaus Romesh, Mills Gordon B, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 555 (2008)
Abstract Background Reverse Phase Protein Arrays (RPPA) are convenient assay platforms to investigate the presence of biomarkers in tissue lysates. As with other high-throughput technologies, substantial amounts of analytical data are generated. Over
Externí odkaz:
https://doaj.org/article/b131051440d8444cacab4ef22be1a515
Autor:
Moerschell Rick, Rajagopalan Balaji, Arthur John M, Stanislaus Romesh, McGlothlen Brian, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 4 (2008)
Abstract Background In spite of two-dimensional gel electrophoresis (2-DE) being an effective and widely used method to screen the proteome, its data standardization has still not matured to the level of microarray genomics data or mass spectrometry
Externí odkaz:
https://doaj.org/article/29d8b56dc0944403ba4cf596d196eb2c
Autor:
Vinga Susana, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 393 (2007)
Abstract Background In a recent report the authors presented a new measure of continuous entropy for DNA sequences, which allows the estimation of their randomness level. The definition therein explored was based on the Rényi entropy of probability
Externí odkaz:
https://doaj.org/article/fb8da9b4dba7479f8885d4acfbceb32a
Autor:
Santos Helena, Vasconcelos Ana, Vinga Susana, Borges Carlos CH, Vilela Marco, Voit Eberhard O, Almeida Jonas S
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 305 (2007)
Abstract Background Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a particularly convenient solution because its parameters are kinet
Externí odkaz:
https://doaj.org/article/ac0f8727bee3464db20e6828ae240ecc
Publikováno v:
BMC Bioinformatics, Vol 8, Iss 1, p 44 (2007)
Abstract Background Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data can be used to classify the same set of entities and methods all
Externí odkaz:
https://doaj.org/article/adf2b61b29144333baa33c832f3ffc4c