Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Leunissen, Jack"'
Autor:
Lin Ke, Kools Harrie, de Groot Philip J., Gavai Anand K., Basnet Ram K., Cheng Feng, Wu Jian, Wang Xiaowu, Lommen Arjen, Hooiveld Guido J. E. J., Bonnema Guusje, Visser Richard G. F., Muller Michael R., Leunissen Jack A. M.
Publikováno v:
Journal of Integrative Bioinformatics, Vol 8, Iss 2, Pp 59-74 (2011)
The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different ~omics datasets to provide novel insights in the unde
Externí odkaz:
https://doaj.org/article/dd1820654bd549cbb911849aa4c18319
Publikováno v:
Journal of Integrative Bioinformatics, Vol 7, Iss 3, Pp 135-146 (2010)
In this paper we evaluate the performance and usefulness of three semantic background knowledge sources for predicting synonymous anatomical terms across species boundaries. The reference sources under evaluation are UMLS, FMA-OBO and WordNet, which
Externí odkaz:
https://doaj.org/article/e016a9ab32be4f2ea8b4280b012d9d5c
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 1987 Aug 01. 84(15), 5320-5324.
Externí odkaz:
https://www.jstor.org/stable/30029
Autor:
Kertész-Farkas, Attila, Dhir, Somdutta, Sonego, Paolo, Pacurar, Mircea, Netoteia, Sergiu, Nijveen, Harm, Kuzniar, Arnold, Leunissen, Jack A.M., Kocsor, András, Pongor, Sándor
Publikováno v:
In Journal of Biochemical and Biophysical Methods 2008 70(6):1215-1223
Autor:
Breit Timo M, Vet Paul E, Neerincx Pieter BT, Rauwerda Han, Wassink Ingo, Leunissen Jack AM, Nijholt Anton
Publikováno v:
BMC Research Notes, Vol 2, Iss 1, p 138 (2009)
Abstract Background R is the statistical language commonly used by many life scientists in (omics) data analysis. At the same time, these complex analyses benefit from a workflow approach, such as used by the open source workflow management system Ta
Externí odkaz:
https://doaj.org/article/21b725ce1ed54044a19a5bc8eaf7ee69
Autor:
Linden C Gerard, Jacobs Jeanne ME, Baldwin Samantha J, Tang Jifeng, Voorrips Roeland E, Leunissen Jack AM, van Eck Herman, Vosman Ben
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 374 (2008)
Abstract Background Simple Sequence Repeat (SSR) or microsatellite markers are valuable for genetic research. Experimental methods to develop SSR markers are laborious, time consuming and expensive. In silico approaches have become a practicable and
Externí odkaz:
https://doaj.org/article/eb7cad3693df4193adc5191eb8522e34
Publikováno v:
BMC Genetics, Vol 9, Iss 1, p 23 (2008)
Abstract Background Single nucleotide polymorphisms (SNPs) and small insertions or deletions (indels) are the most common type of polymorphisms and are frequently used for molecular marker development. Such markers have become very popular for all ki
Externí odkaz:
https://doaj.org/article/73589eba76014f7f9b04be547c5dbbe1
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 438 (2006)
Abstract Background Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use of the large number of sequences present in public databases (
Externí odkaz:
https://doaj.org/article/22c2d30a07d04ab58cd691a12dce205b
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 444 (2006)
Abstract Background In the past years the Smith-Waterman sequence comparison algorithm has gained popularity due to improved implementations and rapidly increasing computing power. However, the quality and sensitivity of a database search is not only
Externí odkaz:
https://doaj.org/article/63d097e56305498f8a75765a0961f8da
Autor:
Dessimoz, Christophe, Gabaldón, Toni, Roos, David S., Sonnhammer, Erik L. L., Herrero, Javier, Altenhoff, Adrian, Apweiler, Rolf, Ashburner, Michael, Blake, Judith, Boeckmann, Brigitte, Bridge, Alan, Bruford, Elspeth, Cherry, Mike, Conte, Matthieu, Dannie, Durand, Datta, Ruchira, Domelevo Entfellner, Jean-Baka, Ebersberger, Ingo, Galperin, Michael, Joseph, Jacob, Koestler, Tina, Kriventseva, Evgenia, Lecompte, Odile, Leunissen, Jack, Lewis, Suzanna, Linard, Benjamin, Livstone, Michael S., Lu, Hui-Chun, Martin, Maria, Mazumder, Raja, Messina, David, Miele, Vincent, Muffato, Matthieu, Perrière, Guy, Punta, Marco, Roos, David, Rouard, Mathieu, Schmitt, Thomas, Schreiber, Fabian, Silva, Alan, Sjölander, Kimmen, Škunca, Nives, Sonnhammer, Erik, Stanley, Eleanor, Szklarczyk, Radek, Thomas, Paul, Uchiyama, Ikuo, Van Bel, Michiel, Vandepoele, Klaas, Vilella, Albert J., Yates, Andrew, Zdobnov, Evgeny
The identification of orthologs—genes pairs descended from a common ancestor through speciation, rather than duplication—has emerged as an essential component of many bioinformatics applications, ranging from the annotation of new genomes to expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______805::4f608a3fc549ac0ff0ce1f7e7d39e199
http://doc.rero.ch/record/292993/files/bts050.pdf
http://doc.rero.ch/record/292993/files/bts050.pdf