Zobrazeno 1 - 10
of 680
pro vyhledávání: '"Deutsch Eric W"'
Autor:
LeDuc, Richard D., Deutsch, Eric W., Binz, Pierre-Alain, Fellers, Ryan T., Cesnik, Anthony J., Klein, Joshua A., Bossche, Tim Van Den, Gabriels, Ralf, Yalavarthi, Arshika, Perez-Riverol, Yasset, Carver, Jeremy, Bittremieux, Wout, Kawano, Shin, Pullman, Benjamin, Bandeira, Nuno, Kelleher, Neil L., Thomas, Paul M., Vizcaíno, Juan Antonio
There is the need to represent in a standard manner all the possible variations of a protein or peptide primary sequence, including both artefactual and post-translational modifications of peptides and proteins. With that overall aim, here, the Human
Externí odkaz:
http://arxiv.org/abs/2109.11352
Autor:
Lewis Steven, Csordas Attila, Killcoyne Sarah, Hermjakob Henning, Hoopmann Michael R, Moritz Robert L, Deutsch Eric W, Boyle John
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 324 (2012)
Abstract Background For shotgun mass spectrometry based proteomics the most computationally expensive step is in matching the spectra against an increasingly large database of sequences and their post-translational modifications with known masses. Ea
Externí odkaz:
https://doaj.org/article/c337c57d111842dba015536a46ba3934
Publikováno v:
BMC Genomics, Vol 12, Iss 1, p 290 (2011)
Abstract Background Honey bees are a mainstay of agriculture, contributing billions of dollars through their pollination activities. Bees have been a model system for sociality and group behavior for decades but only recently have molecular technique
Externí odkaz:
https://doaj.org/article/9184b093f6f24e2689f786c165082d2c
Autor:
Ramos Hector, Kusebauch Ulrike, Picotti Paola, Reiter Lukas, Campbell David, Christiansen Mark, Kwok Sung-Tat, Brusniak Mi-Youn K, Deutsch Eric W, Chen Jingchun, Moritz Robert L, Aebersold Ruedi
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 78 (2011)
Abstract Background Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. Increasingly, proteomic measurements are also supporting hypothe
Externí odkaz:
https://doaj.org/article/3429de4397c14bf8b587cd3689d6fc4b
Publikováno v:
BMC Medical Genomics, Vol 3, Iss 1, p 7 (2010)
Abstract Background Public proteomics databases such as PeptideAtlas contain peptides and proteins identified in mass spectrometry experiments. However, these databases lack information about human disease for researchers studying disease-related pro
Externí odkaz:
https://doaj.org/article/b4184bba1f764d80b828b519e247a15d
Autor:
King Nichole L, Brunner Erich, Loevenich Sandra N, Deutsch Eric W, Stein Stephen E, Aebersold Ruedi, Hafen Ernst
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 59 (2009)
Abstract Background Crucial foundations of any quantitative systems biology experiment are correct genome and proteome annotations. Protein databases compiled from high quality empirical protein identifications that are in turn based on correct gene
Externí odkaz:
https://doaj.org/article/2d1aaacd409c4f5ca50927bdb98c8232
Autor:
Deutsch Eric W, Campbell David S, True Lawrence D, Pascal Laura E, Risk Michael, Coleman Ilsa M, Eichner Lillian J, Nelson Peter S, Liu Alvin Y
Publikováno v:
BMC Genomics, Vol 9, Iss 1, p 246 (2008)
Abstract Background: Expression levels of mRNA and protein by cell types exhibit a range of correlations for different genes. In this study, we compared levels of mRNA abundance for several cluster designation (CD) genes determined by gene arrays usi
Externí odkaz:
https://doaj.org/article/081873d854fa475494e80161dd7c030b
Publikováno v:
BMC Urology, Vol 7, Iss 1, p 19 (2007)
Abstract Background Public databases are crucial for analysis of high-dimensional gene and protein expression data. The Urologic Epithelial Stem Cells (UESC) database http://scgap.systemsbiology.net/ is a public database that contains gene and protei
Externí odkaz:
https://doaj.org/article/de68f5fc3f9f4d44b7c7ee7e71477f12
Autor:
Campbell David, Moss Patrick, Deutsch Eric W, Marzolf Bruz, Johnson Michael H, Galitski Timothy
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 286 (2006)
Abstract Background The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automation of this information extraction requires high throughput man
Externí odkaz:
https://doaj.org/article/e98bf9e3f7294e0b956aaf1fdb01b522
Autor:
Sandmann, Clara-L., Schulz, Jana F., Ruiz-Orera, Jorge, Kirchner, Marieluise, Ziehm, Matthias, Adami, Eleonora, Marczenke, Maike, Christ, Annabel, Liebe, Nina, Greiner, Johannes, Schoenenberger, Aaron, Muecke, Michael B., Liang, Ning, Moritz, Robert L., Sun, Zhi, Deutsch, Eric W., Gotthardt, Michael, Mudge, Jonathan M., Prensner, John R., Willnow, Thomas E., Mertins, Philipp, van Heesch, Sebastiaan, Hubner, Norbert
Publikováno v:
In Molecular Cell 16 March 2023 83(6):994-1011