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of 65
pro vyhledávání: '"Fasold, Mario"'
Autor:
Fasold, Mario
Modern high-throughput technologies like DNA microarrays are powerful tools that are widely used in biomedical research. They target a variety of genomics applications ranging from gene expression profiling over DNA genotyping to gene regulation stud
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A12001
https://ul.qucosa.de/api/qucosa%3A12001/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A12001/attachment/ATT-0/
Autor:
Gardner, Paul P., Fasold, Mario, Burge, Sarah W., Ninova, Maria, Hertel, Jana, Kehr, Stephanie, Steeves, Tammy E., Griffiths-Jones, Sam, Stadler, Peter F.
Here we present the results of a large-scale bioinformatic annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avian
Externí odkaz:
http://arxiv.org/abs/1406.7140
Autor:
Munro, Sarah A., Lund, Steve P., Pine, P. Scott, Binder, Hans, Clevert, Djork-Arné, Conesa, Ana, Dopazo, Joaquin, Fasold, Mario, Hochreiter, Sepp, Hong, Huixiao, Jafari, Nederah, Kreil, David P., Łabaj, Paweł P., Li, Sheng, Liao, Yang, Lin, Simon, Meehan, Joseph, Mason, Christopher E., Santoyo, Javier, Setterquist, Robert A., Shi, Leming, Shi, Wei, Smyth, Gordon K., Stralis-Pavese, Nancy, Su, Zhenqiang, Tong, Weida, Wang, Charles, Wang, Jian, Xu, Joshua, Ye, Zhan, Yang, Yong, Yu, Ying, Salit, Marc
Publikováno v:
Nat. Commun. (2014) 5:5125
There is a critical need for standard approaches to assess, report, and compare the technical performance of genome-scale differential gene expression experiments. We assess technical performance with a proposed "standard" dashboard of metrics derive
Externí odkaz:
http://arxiv.org/abs/1406.4893
Akademický článek
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Autor:
Nunn, Adam, Can, Sultan Nilay, Otto, Christian, Fasold, Mario, Rodríguez, Bárbara Díez, Fernández-Pozo, Noé, Rensing, Stefan A, Stadler, Peter F, Langenberger, David
The expanding scope and scale of next generation sequencing experiments in ecological plant epigenetics brings new challenges for computational analysis. Existing tools built for model data may not address the needs of users looking to apply these te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7c4cd779d8a98eb2c0b40cfaa8d17c2d
https://doi.org/10.1093/nargab/lqab106
https://doi.org/10.1093/nargab/lqab106
Autor:
Gardner, Paul P.1,2 paul.gardner@canterbury.ac.nz, Fasold, Mario3,4, Burge, Sarah W.5, Ninova, Maria6, Hertel, Jana3, Kehr, Stephanie3, Steeves, Tammy E.1, Griffiths-Jones, Sam6, Stadler, Peter F.3,7,8,9,10,11,12
Publikováno v:
PLoS ONE. Mar2015, Vol. 10 Issue 3, p1-19. 19p.
Autor:
Fasold Mario, Binder Hans
Publikováno v:
BMC Genomics, Vol 13, Iss 1, p 186 (2012)
Abstract Background Microarrays are a powerful tool for transcriptome analysis. Best results are obtained using high-quality RNA samples for preparation and hybridization. Issues with RNA integrity can lead to low data quality and failure of the micr
Externí odkaz:
https://doaj.org/article/8bc4e54926104074aa5fd509ec249032
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 207 (2010)
Abstract Background The brightness of the probe spots on expression microarrays intends to measure the abundance of specific mRNA targets. Probes with runs of at least three guanines (G) in their sequence show abnormal high intensities which reflect
Externí odkaz:
https://doaj.org/article/2c46b2ecb1824cdd82600b3ae40fcace
Autor:
Fasold, Mario1,2 fasold@izbi.uni-leipzig.de, Binder, Hans1,3
Publikováno v:
Microarrays (2076-3905). 2014, Vol. 3 Issue 4, p322-339. 20p.
Autor:
Braasch, Ingo, Gehrke, Andrew R., Smith, Jeramiah J., Kawasaki, Kazuhiko, Manousaki, Tereza, Pasquier, Jérémy, Amores, Angel, Desvignes, Thomas, Batzel, Peter, Catchen, Julian, Berlin, Aaron M., Campbell, Michael S., Barrell, Daniel, Martin, Kyle J., Mulley, John F., Ravi, Vydianathan, Lee, Alison P., Nakamura, Tetsuya, Chalopin, Domitille, Fan, Shaohua, Wcisel, Dustin, Cañestro, Cristian, Sydes, Jason, Beaudry, Felix E.G., Sun, Yi, Hertel, Jana, Beam, Michael J., Fasold, Mario, Ishiyama, Mikio, Johnson, Jeremy, Kehr, Steffi, Lara, Marcia, Letaw, John H., Litman, Gary W., Litman, Ronda T., Mikami, Masato, Ota, Tatsuya, Saha, Nil Ratan, Williams, Louise, Stadler, Peter F., Wang, Han, Taylor, John S., Fontenot, Quenton, Ferrara, Allyse, Searle, Stephen M.J., Aken, Bronwen, Yandell, Mark, Schneider, Igor, Yoder, Jeffrey A, Volff, Jean-Nicolas, Meyer, Axel, Amemiya, Chris T, Venkatesh, Byrappa, Holland, Peter W.H., Guiguen, Yann, Bobe, Julien, Shubin, Neil H., Di Palma, Federica, Alföldi, Jessica, Lindblad-Toh, Kerstin, Postlethwait, John H.
Publikováno v:
Nature Genetics
Nature Genetics, Nature Publishing Group, 2016, 48 (6), pp.700-700
Nature Genetics, 2016, 48 (6), pp.700-700
Nature Genetics, Nature Publishing Group, 2016, 48 (6), pp.700-700
Nature Genetics, 2016, 48 (6), pp.700-700
The spotted gar genome illuminates vertebrate evolution and facilitates human-teleost comparisons (vol 48, pg 427, 2016); As we intended, other researchers have been able to use the draft spotted gar genome sequence available from the Broad Institute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6e5ff80dd97076e4fb2d5debfc383d4f
https://hal.archives-ouvertes.fr/hal-01594468
https://hal.archives-ouvertes.fr/hal-01594468