Zobrazeno 1 - 10
of 23
pro vyhledávání: '"'t Hoen Peter AC"'
Autor:
Mastrokolias Anastasios, den Dunnen Johan T, van Ommen GertJan B, 't Hoen Peter AC, van Roon-Mom Willeke MC
Publikováno v:
BMC Genomics, Vol 13, Iss 1, p 28 (2012)
Abstract Background Transcriptome analysis is of great interest in clinical research, where significant differences between individuals can be translated into biomarkers of disease. Although next generation sequencing provides robust, comparable and
Externí odkaz:
https://doaj.org/article/73aa8a3a63cd4d22a79779fb888dab24
Autor:
van Ommen Gert Jan B, den Dunnen Johan T, de Gorter David JJ, Terlouw Samuel, van Heiningen Sandra H, Hoogaars Willem MH, Kemaladewi Dwi U, Aartsma-Rus Annemieke, ten Dijke Peter, 't Hoen Peter AC
Publikováno v:
BMC Medical Genomics, Vol 4, Iss 1, p 36 (2011)
Abstract Background Myostatin is a potent muscle growth inhibitor that belongs to the Transforming Growth Factor-β (TGF-β) family. Mutations leading to non functional myostatin have been associated with hypermuscularity in several organisms. By con
Externí odkaz:
https://doaj.org/article/07a8f75a00944b1382c2e811e51b786e
Autor:
Anvar Seyed, 't Hoen Peter AC, Venema Andrea, van der Sluijs Barbara, van Engelen Baziel, Snoeck Marc, Vissing John, Trollet Capucine, Dickson George, Chartier Aymeric, Simonelig Martine, van Ommen Gert-Jan B, van der Maarel Silvere M, Raz Vered
Publikováno v:
Skeletal Muscle, Vol 1, Iss 1, p 15 (2011)
Abstract Oculopharyngeal muscular dystrophy (OPMD) is a late-onset progressive muscle disorder caused by a poly-alanine expansion mutation in the Poly(A) Binding Protein Nuclear 1 (PABPN1). The molecular mechanisms that regulate disease onset and pro
Externí odkaz:
https://doaj.org/article/8c74646d6e7c44c8b4ee02757f470484
Publikováno v:
BMC Genomics, Vol 11, Iss 1, p 716 (2010)
Abstract Background MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression. The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable f
Externí odkaz:
https://doaj.org/article/75d6665bf5524188afb0da1f8753c6cc
Publikováno v:
BMC Bioinformatics, Vol 11, Iss 1, p 32 (2010)
Abstract Background In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and
Externí odkaz:
https://doaj.org/article/538721e25445484fa0814d8cb2c5fcce
Autor:
den Dunnen Johan T, van Ommen Gert-Jan B, Villerius Michel P, van Galen Michiel, Hestand Matthew S, 't Hoen Peter AC
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 495 (2008)
Abstract Background The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false positives and false negatives in current approaches. Computationa
Externí odkaz:
https://doaj.org/article/2761837e2bdd49a0878f324ddf8dd7f9
Autor:
van Ommen Gert-Jan B, den Dunnen Johan T, Sterrenburg Ellen, 't Hoen Peter AC, Jelier Rob, Kors Jan A, Mons Barend
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 291 (2008)
Abstract Background Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified differentially expressed genes may hint at the same biological proce
Externí odkaz:
https://doaj.org/article/2d5c80381d17436aaef295bafd0f093e
Autor:
Kuiper Rowan, de Hollander Mattias, Ariyurek Yavuz, Vossen Rolf HAM, Schenk Geert J, Vreugdenhil Erno, 't Hoen Peter AC, Pedotti Paola, van Ommen Gertjan JB, den Dunnen Johan T, Boer Judith M, de Menezes Renée X
Publikováno v:
BMC Genomics, Vol 9, Iss 1, p 124 (2008)
Abstract Background The comparability of gene expression data generated with different microarray platforms is still a matter of concern. Here we address the performance and the overlap in the detection of differentially expressed genes for five diff
Externí odkaz:
https://doaj.org/article/73f5914f53b84f018beddf7b8a7fc2b7
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 183 (2006)
Abstract Background The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Most statistical methods used in the literature do not fully expl
Externí odkaz:
https://doaj.org/article/28f4d0a05ebd47919ca24c5d66c41797
Autor:
Boer Judith M, de Meijer Emile J, de Menezes Renée X, Sterrenburg Ellen, 't Hoen Peter AC, Turk Rolf, van Ommen Gert-Jan B, den Dunnen Johan T
Publikováno v:
BMC Genomics, Vol 5, Iss 1, p 57 (2004)
Abstract Background In this study, we investigated the effect of genetic background on expression profiles. We analysed the transcriptome of mouse hindlimb muscle of five frequently used mouse inbred strains using spotted oligonucleotide microarrays.
Externí odkaz:
https://doaj.org/article/8c9e0609e7884baabbf1dd481a4828e8