Vinciotti V - Search Results

1

Repo-Man/PP1 regulates heterochromatin formation in interphase.

de Castro IJ, Budzak J, Di Giacinto ML, Ligammari L, Gokhan E, Spanos C, Moralli D, Richardson C, de Las Heras JI, Salatino S, Schirmer EC, Ullman KS, Bickmore WA, Green C, Rappsilber J, Lamble S, Goldberg MW, Vinciotti V, Vagnarelli P. de Castro IJ, et al. Among authors: vinciotti v. Nat Commun. 2017 Jan 16;8:14048. doi: 10.1038/ncomms14048. Nat Commun. 2017. PMID: 28091603 Free PMC article.

2

Network of phosphatases and HDAC complexes at repressed chromatin.

de Castro IJ, Amin HA, Vinciotti V, Vagnarelli P. de Castro IJ, et al. Among authors: vinciotti v. Cell Cycle. 2017;16(21):2011-2017. doi: 10.1080/15384101.2017.1371883. Epub 2017 Sep 14. Cell Cycle. 2017. PMID: 28910568 Free PMC article.

3

Non-redundant functions of H2A.Z.1 and H2A.Z.2 in chromosome segregation and cell cycle progression.

Sales-Gil R, Kommer DC, de Castro IJ, Amin HA, Vinciotti V, Sisu C, Vagnarelli P. Sales-Gil R, et al. Among authors: vinciotti v. EMBO Rep. 2021 Nov 4;22(11):e52061. doi: 10.15252/embr.202052061. Epub 2021 Aug 23. EMBO Rep. 2021. PMID: 34423893 Free PMC article.

4

Joint modeling of ChIP-seq data via a Markov random field model.

Bao Y, Vinciotti V, Wit E, 't Hoen PA. Bao Y, et al. Among authors: vinciotti v. Biostatistics. 2014 Apr;15(2):296-310. doi: 10.1093/biostatistics/kxt047. Epub 2013 Oct 30. Biostatistics. 2014. PMID: 24178187

5

Modelling ChIP-seq Data Using HMMs.

Vinciotti V. Vinciotti V. Methods Mol Biol. 2017;1552:115-122. doi: 10.1007/978-1-4939-6753-7_8. Methods Mol Biol. 2017. PMID: 28224494

6

Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data.

Bao Y, Vinciotti V, Wit E, 't Hoen PA. Bao Y, et al. Among authors: vinciotti v. BMC Bioinformatics. 2013 May 30;14:169. doi: 10.1186/1471-2105-14-169. BMC Bioinformatics. 2013. PMID: 23721376 Free PMC article.

7

Exploiting the full power of temporal gene expression profiling through a new statistical test: application to the analysis of muscular dystrophy data.

Vinciotti V, Liu X, Turk R, de Meijer EJ, 't Hoen PA. Vinciotti V, et al. BMC Bioinformatics. 2006 Apr 3;7:183. doi: 10.1186/1471-2105-7-183. BMC Bioinformatics. 2006. PMID: 16584545 Free PMC article.

8

An experimental evaluation of a loop versus a reference design for two-channel microarrays.

Vinciotti V, Khanin R, D'Alimonte D, Liu X, Cattini N, Hotchkiss G, Bucca G, de Jesus O, Rasaiyaah J, Smith CP, Kellam P, Wit E. Vinciotti V, et al. Bioinformatics. 2005 Feb 15;21(4):492-501. doi: 10.1093/bioinformatics/bti022. Epub 2004 Sep 16. Bioinformatics. 2005. PMID: 15374872

9

Consistency of biological networks inferred from microarray and sequencing data.

Vinciotti V, Wit EC, Jansen R, de Geus EJ, Penninx BW, Boomsma DI, 't Hoen PA. Vinciotti V, et al. BMC Bioinformatics. 2016 Jun 24;17:254. doi: 10.1186/s12859-016-1136-0. BMC Bioinformatics. 2016. PMID: 27342572 Free PMC article.

10

NEAT: an efficient network enrichment analysis test.

Signorelli M, Vinciotti V, Wit EC. Signorelli M, et al. Among authors: vinciotti v. BMC Bioinformatics. 2016 Sep 5;17(1):352. doi: 10.1186/s12859-016-1203-6. BMC Bioinformatics. 2016. PMID: 27597310 Free PMC article.

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