Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Hassani-Pak Keywan"'
Publikováno v:
Journal of Integrative Bioinformatics, Vol 15, Iss 3, Pp 255-68 (2018)
The speed and accuracy of new scientific discoveries – be it by humans or artificial intelligence – depends on the quality of the underlying data and on the technology to connect, search and share the data efficiently. In recent years, we have se
Externí odkaz:
https://doaj.org/article/b43fe8e82abc4912820ec641a6640720
Publikováno v:
Journal of Integrative Bioinformatics, Vol 14, Iss 1, Pp 803-9 (2017)
Genetics and “omics” studies designed to uncover genotype to phenotype relationships often identify large numbers of potential candidate genes, among which the causal genes are hidden. Scientists generally lack the time and technical expertise to
Externí odkaz:
https://doaj.org/article/7867fa2f69814cbd817c2d727148203c
Publikováno v:
Journal of Integrative Bioinformatics, Vol 11, Iss 2, Pp 15-26 (2014)
Information Retrieval (IR) plays a central role in the exploration and interpretation of integrated biological datasets that represent the heterogeneous ecosystem of life sciences. Here, keyword based query systems are popular user interfaces. In tur
Externí odkaz:
https://doaj.org/article/f2dbb637872144ff8a1c0f6bce146807
Autor:
Hassani-Pak Keywan, Legaie Roxane, Canevet Catherine, Berg Hugo A. van den, Moore Jonathan D., Rawlings Christopher J.
Publikováno v:
Journal of Integrative Bioinformatics, Vol 7, Iss 3, Pp 87-99 (2010)
High throughput genomic studies can identify large numbers of potential candidate genes, which must be interpreted and filtered by investigators to select the best ones for further analysis. Prioritization is generally based on evidence that supports
Externí odkaz:
https://doaj.org/article/a816b2b6a90944d082212e9abe020074
Autor:
Pesch Robert, Lysenko Artem, Hindle Matthew, Hassani-Pak Keywan, Thiele Ralf, Rawlings Christopher, Köhler Jacob, Taubert Jan
Publikováno v:
Journal of Integrative Bioinformatics, Vol 5, Iss 2, Pp 58-72 (2008)
The automated annotation of data from high throughput sequencing and genomics experiments is a significant challenge for bioinformatics. Most current approaches rely on sequential pipelines of gene finding and gene function prediction methods that an
Externí odkaz:
https://doaj.org/article/47ca6818023742b38bb4ae6795cc67f5
Autor:
Hodgman Charlie, Taubert Jan, Hassani-Pak Keywan, Defoin-Platel Michael, Lysenko Artem, Rawlings Christopher J, Saqi Mansoor
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 203 (2011)
Abstract Background Combining multiple evidence-types from different information sources has the potential to reveal new relationships in biological systems. The integrated information can be represented as a relationship network, and clustering the
Externí odkaz:
https://doaj.org/article/60b272e3898f4bbaaef2e410acf603a2
Akademický článek
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Autor:
Paliwal, Deepa, Rabiey, Mojgan, Mauchline, Tim H., Hassani‐Pak, Keywan, Nauen, Ralf, Wagstaff, Carol, Andrews, Simon, Bass, Chris, Jackson, Robert W.
Publikováno v:
Environmental Microbiology; Apr2024, Vol. 26 Issue 4, p1-19, 19p
Publikováno v:
Plant Physiology, 2018 May 01. 177(1), 12-23.
Externí odkaz:
https://www.jstor.org/stable/26507667
Autor:
Menard, Guillaume N., Moreno, Jose Martin, Bryant, Fiona M., Munoz-Azcarate, Olaya, Kelly, Amélie A., Hassani-Pak, Keywan, Kurup, Smita, Eastmond, Peter J.
Publikováno v:
Plant Physiology, 2017 Mar 01. 173(3), 1594-1605.
Externí odkaz:
https://www.jstor.org/stable/24902387