Utro F - Search Results

1

A basic analysis toolkit for biological sequences.

Giancarlo R, Siragusa A, Siragusa E, Utro F. Giancarlo R, et al. Among authors: utro f. Algorithms Mol Biol. 2007 Sep 18;2:10. doi: 10.1186/1748-7188-2-10. Algorithms Mol Biol. 2007. PMID: 17877802 Free PMC article.

2

Speeding up the Consensus Clustering methodology for microarray data analysis.

Giancarlo R, Utro F. Giancarlo R, et al. Among authors: utro f. Algorithms Mol Biol. 2011 Jan 14;6(1):1. doi: 10.1186/1748-7188-6-1. Algorithms Mol Biol. 2011. PMID: 21235792 Free PMC article.

3

Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer.

Giancarlo R, Scaturro D, Utro F. Giancarlo R, et al. Among authors: utro f. BMC Bioinformatics. 2008 Oct 29;9:462. doi: 10.1186/1471-2105-9-462. BMC Bioinformatics. 2008. PMID: 18959783 Free PMC article.

4

Textual data compression in computational biology: a synopsis.

Giancarlo R, Scaturro D, Utro F. Giancarlo R, et al. Among authors: utro f. Bioinformatics. 2009 Jul 1;25(13):1575-86. doi: 10.1093/bioinformatics/btp117. Epub 2009 Feb 27. Bioinformatics. 2009. PMID: 19251772 Review.

5

ValWorkBench: an open source Java library for cluster validation, with applications to microarray data analysis.

Giancarlo R, Scaturro D, Utro F. Giancarlo R, et al. Among authors: utro f. Comput Methods Programs Biomed. 2015 Feb;118(2):207-17. doi: 10.1016/j.cmpb.2014.12.004. Epub 2015 Jan 2. Comput Methods Programs Biomed. 2015. PMID: 25582071

6

Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies.

Giancarlo R, Rombo SE, Utro F. Giancarlo R, et al. Among authors: utro f. Brief Bioinform. 2014 May;15(3):390-406. doi: 10.1093/bib/bbt088. Epub 2013 Dec 17. Brief Bioinform. 2014. PMID: 24347576 Review.

7

Epigenomic k-mer dictionaries: shedding light on how sequence composition influences in vivo nucleosome positioning.

Giancarlo R, Rombo SE, Utro F. Giancarlo R, et al. Among authors: utro f. Bioinformatics. 2015 Sep 15;31(18):2939-46. doi: 10.1093/bioinformatics/btv295. Epub 2015 May 25. Bioinformatics. 2015. PMID: 26007227

8

The intrinsic combinatorial organization and information theoretic content of a sequence are correlated to the DNA encoded nucleosome organization of eukaryotic genomes.

Utro F, Di Benedetto V, Corona DF, Giancarlo R. Utro F, et al. Bioinformatics. 2016 Mar 15;32(6):835-42. doi: 10.1093/bioinformatics/btv679. Epub 2015 Nov 16. Bioinformatics. 2016. PMID: 26576651

9

In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes.

Giancarlo R, Rombo SE, Utro F. Giancarlo R, et al. Among authors: utro f. Bioinformatics. 2018 Oct 15;34(20):3454-3460. doi: 10.1093/bioinformatics/bty799. Bioinformatics. 2018. PMID: 30204840

10

A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.

Giancarlo R, Lo Bosco G, Pinello L, Utro F. Giancarlo R, et al. Among authors: utro f. BMC Bioinformatics. 2013;14 Suppl 1(Suppl 1):S6. doi: 10.1186/1471-2105-14-S1-S6. Epub 2013 Jan 14. BMC Bioinformatics. 2013. PMID: 23369037 Free PMC article.

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