2019
Pernice S, Pennisi M, Romano G, Maglione A, Cutrupi S, Pappalardo F, Balbo G, Beccuti M, Cordero F, Calogero RA. A computational approach based on the Colored Petri Net formalism for studying Multiple Sclerosis BMC Bioinformatics 20(623)
Tarallo S, Ferrero G, Gallo G, Francavilla A, Clerico G, Realis Luc A, Manghi P, Thomas AM, Vineis P, Segata N, Pardini B, Naccarati A, Cordero F. Altered Fecal Small RNA Profiles in Colorectal Cancer Reflect Gut Microbiome Composition in Stool Samples. mSystems ;4(5). doi: 10.1128/mSystems.00289-19.
Alessandrì L, Cordero F, Beccuti M, Arigoni M, Olivero M, Romano G, Rabellino S, Licheri N, De Libero G, Pace L, Calogero RA. rCASC: reproducible classification analysis of single-cell sequencing data. GigaScience ;8(9).doi: 10.1093/gigascience/giz105.
Thomas AM, Manghi P, Asnicar F, Pasolli E, Armanini F, Zolfo M, Beghini F, Manara S, Karcher N, Pozzi C, Gandini S, Serrano D, Tarallo S, Francavilla A, Gallo G, Trompetto M, Ferrero G, Mizutani S, Shiroma H, Shiba S, Shibata T, Yachida S, Yamada T, Wirbel J, Schrotz-King P, Ulrich CM, Brenner H, Arumugam M, Bork P, Zeller G, Cordero F, Dias-Neto E, Setubal JC, Tett A, Pardini B, Rescigno M, Waldron L, Naccarati A, Segata N. Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation. NATURE MEDICE ; 25(4):667-678. doi: 10.1038/s41591-019-0405-7. Epub 2019 Apr 1.
Follia L, Ferrero G, Mandili G, Beccuti M, Giordano D, Spadi R, Satolli MA, Evangelista A, Katayama H, Hong W, Momin AA, Capello M, Hanash SM, Novelli F, Cordero F. Integrative Analysis of Novel Metabolic Subtypes in Pancreatic Cancer Fosters New Prognostic Biomarkers. FRONTIERS IN ONCOLOGY ;9:115. doi: 10.3389/fonc.2019.00115. eCollection 2019.
Iannello A, Rolla S, Maglione A, Ferrero G, Bardina V, Inaudi I, De Mercanti S, Novelli F, D'Antuono L, Cardaropoli S, Todros T, Turrini MV, Cordioli C, Puorro G, Marsili A, Lanzillo R, Brescia Morra V, Cordero F, De Bortoli M, Durelli L, Visconti A, Cutrupi S, Clerico M. Pregnancy Epigenetic Signature in T Helper 17 and T Regulatory Cells in Multiple Sclerosis. FRONTIERS IN IMMUNOLOGY ; 9:3075. doi: 10.3389/fimmu.2018.03075. eCollection 2018.
2018
Kulkarni N, Alessandrì L, Panero R, Arigoni M, Olivero M, Ferrero G, Cordero F, Beccuti M, Calogero RA. Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines. BMC Bioinformatics ;19(Suppl 10):349. doi: 10.1186/s12859-018-2296-x.
Ferrero G, Cordero F, Tarallo S, Arigoni M, Riccardo F, Gallo G, Ronco G, Allasia M, Kulkarni N, Matullo G, Vineis P, Calogero RA, Pardini B, Naccarati A. Small non-coding RNA profiling in human biofluids and surrogate tissues from healthy individuals: description of the diverse and most represented species. Oncotarget ;9(3):3097-3111. doi: 10.18632/oncotarget.23203. eCollection 2018 Jan 9.
Beccuti M, Cordero F, Arigoni M, Panero R, Amparore EG, Donatelli S, Calogero RA. SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer. Bioinformatics ;34(5):871-872. doi: 10.1093/bioinformatics/btx674.
Coscujuela Tarrero L, Ferrero G, Miano V, De Intinis C, Ricci L, Arigoni M, Riccardo F, Annaratone L, Castellano I, Calogero RA, Beccuti M, Cordero F, De Bortoli M. Luminal breast cancer-specific circular RNAs uncovered by a novel tool for data analysis. Oncotarget. 2018 Feb 19;9(18):14580-14596. doi: 10.18632/oncotarget.24522.
Pardini B, Cordero F, Naccarati A, Viberti C, Birolo G, Oderda M, Di Gaetano C, Arigoni M, Martina F, Calogero RA, Sacerdote C, Gontero P, Vineis P, Matullo G. microRNA profiles in urine by next-generation sequencing can stratify bladder cancer subtypes. Oncotarget. 2018 Apr 17;9(29):20658-20669. doi: 10.18632/oncotarget.25057. eCollection 2018 Apr 17.
Allione A, Pardini B, Viberti C, Giribaldi G, Turini S, Di Gaetano C, Guarrera S, Cordero F, Oderda M, Allasia M, Gontero P, Sacerdote C, Vineis P, Matullo G. MMP23B expression and protein levels in blood and urine are associated with bladder cancer. Carcinogenesis. 2018 Jul 20. doi: 10.1093/carcin/bgy098.
2017
Ferrero G, Cordero F, Tarallo S, Arigoni M, Riccardo F, Gallo G, Ronco G, Allasia M, Kulkarni N, Matullo G, Vineis P , Calogero R, Pardini B and Naccarati A Small non-coding RNA profiling in human biofluids and surrogate tissues from healthy individuals: description of the diverse and most represented species Oncotarget Dec 14;9(3):3097-3111
Beccuti M, Genuardi E, Romano G, Monitillo L, Barbero D, Boccadoro M, Ladetto M, Calogero R, Ferrero S and Cordero F. HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data BMC Bioinformatics Nov 23;18(1):516.
Beccuti M, Cordero F, Arigoni M, Panero R, Amparore EG, Donatelli S, Calogero RA. SeqBox: RNAseq/ChIPseq reproducible analysis on a consumer game computer. Bioinformatics 2017 Oct 23
Ferrero G, Miano V, Beccuti M, Balbo G, De Bortoli M and Cordero F. Dissecting the genomic activity of a transcriptional regulator by the integrative analysis of omics data. Scientific Reports. 2017 Aug 17; 7(1)
Martina F, Beccuti M, Balbo G, Cordero F A New Features Selection Method to Improve Classification Performances in Imbalanced Data Sets. PLoS ONE 2017 Aug 14; 12(8)
Totis N, Follia L, Cordero F, Riganti C, Novelli F, Balbo G and Beccuti M. Overcoming the lack of kinetic information in biochemical reactions networks. ACM SIGMETRICS Performance Evaluation Review. Volume 44 Issue 4, March 2017, Pages 91-102. ACM New York, NY, USA
2016
Rosso MC, Badino P, Ferrero G, Costa R, Cordero F, Steidler S. Biologic Data of Cynomolgus Monkeys Maintained under Laboratory Conditions. PLoS ONE 2016 Jun 9; 11(6)
Romano P, Cordero F. NETTAB 2014: From high-throughput structural bioinformatics to integrative systems biology. BMC Bioinformatics, 2016 Mar 2; 17 Suppl 4:62. Editorial
Miano V, Ferrero G, Reineri S, Caizzi L, Annaratone L, Ricci L, Cutrupi S, Castellano I, Cordero F, De Bortoli M. Luminal long non-coding RNAs regulated by estrogen receptor alpha in a ligand-independent manner show functional roles in breast cancer. Oncotarget, 2016 Jan 19;7(3):3201-16.
Miglio G, Sabatino AD, Veglia E, Giraudo MT, Beccuti M, Cordero F. A computational analysis of S-(2-succino)cysteine sites in proteins. Biochim Biophys Acta, 2016, Feb;1864(2):211-8.
2015
Munoz-Amatriain M., Lonardi S., Luo M., ..., Cordero F., et al. Sequencing of 15,622 gene-bearing BACs clarifies the gene-dense regions of the barley genome. The Plant Journal, 2015, doi: 10.1111/tpj.12959
Cordero F, Ferrero G, Polidoro S, Fiorito G, Campanella G, Sacerdote C, Mattiello A, Masala G, Agnoli C, Frasca G, Panico S, Palli D, Krogh V, Tumino R, Vineis P, Naccarati A. Differentially methylated microRNAs in prediagnostic samples of subjects who developed breast cancer in the European Prospective Investigation into Nutrition and Cancer (EPIC-Italy) cohort. Carcinogenesis, 2015
Fornari C., Balbo G., Halawani S.M., a-Rukab O., Ahmad A.R., Calogero R.A., Cordero F. and Beccuti M. A versatile mathematical work-flow to explore how Cancer Stem Cell fate influences tumor progression. BMC Systems Biology, 2015, 9(3:S1)
Carrara M., Lum J., Cordero F., Beccuti M., Donatelli S., Calogero R.A. and Zolezzi F. Alternative splicing detection workflow needs a careful combination of sample prep and bioinformatics analysis. BMC Bioinformatics, 2015, 16(9:S2)
Medico E., Russo M., Picco G., Cancelliere C., Valtorta E., Corti G., Buscarino M., Isella C., Lamba S., Martinoglio B., Veronese S., Siena S., Sarote-Bianchi A., Beccuti M., Mottolese M., Linnebacher M., Cordero F., Di Nicolantonio F. and Bardelli A. The molecular landscape of colorectal cancer cell lines unveils clinically actionable targets. Nature Communications, 2015, 6, Article number 7002
2014
Beccuti M, Carrara M, Cordero F, Lazzarato F, Donatelli S, Nadalin F, Policriti A, Calogero RA. Chimera: a Bioconductor package for secondary analysis of fusion products. Bioinformatics, 2014, 30(24) Pag: 3556-3557
Fornari C, Beccuti M, Lanzardo S, Conti L, Balbo G, Cavallo F, Calogero RA, Cordero F A mathematical-biological joint effort to investigate the tumor-initiating ability of Cancer Stem Cells. PLoS One, 2014; 9(9):e106193
Caizzi L, Ferrero G, Cutrupi S, Cordero F, Ballare C, Miano V, Reineri S, Ricci L, Friard O, Testori A, Cora D, Caselle M, Di Croce L and De Bortoli M. Genome-wide activity of unliganded Estrogen Receptor alfa in breast cancer cells. PNAS, 2014; 111(13) pag:4892-7
Slyskova J, Cordero F, Pardini B, Korenkova V, Vymetalkova V, Ludovit Bielik L, Vodickova L, Pitule P, Matejka VM, Levy M, Buchler T, Kubista M, Naccarati A, Vodicka P. Post-treatment recovery of suboptimal DNA repair activity and gene expression levels in colorectal cancer patients, Molecular Carcinogenesis. doi: 10.1002/mc.22141, 2014
Visconti A., Cordero F., Pensa R.G. Leveraging additional knowledge to support coherent bicluster discovery in gene expression data. Intelligent Data Analysis, Vol. 18(5) 2014
Cutrupi S., Ferrero G., Reineri S., Cordero F., De Bortoli M. Genomic lens on neuroglobin transcription. IUBMB Life , 2014; 66(1) pag:46-51
2013
Beccuti M., Carrara M., Cordero F., Donatelli S., Calogero R.A.. The structure of state of art gene fusion-finder algorithms. Journal of of OA Bioinformatics , Volume 1(1), 2013.
Lonardi S., Duma D., Alpert M., Cordero F., Beccuti M., Bhat P. R., Wu Y., Ciardo G., Alsaihati B., Y. Ma Y., Wanamaker S., Resnik J., Luo M., Close T. J. Combinatorial Pooling Enables Selective Sequencing of the Barley Gene Space. PLOS Computational Biology. . 2013 Apr;9(4)
Carrara M., Beccuti M., Lazzarato F., Cordero F., Calogero R. A., Donatelli S. and Cavallo F. State of art fusion-finder algorithms sensitivity and specificity. BioMed Research International. 2013, February 2013
Carrara M., Beccuti M., Cavallo F., Donatelli S., Lazzarato F., Cordero F., and Calogero R. A. State of art fusion-finder algorithms are suitable to detect Transcription-Induced Chimeras in normal tissues? BMC Bioinformatics.. 2013;14 Suppl 7:S2.
Cordero F., Beccuti M., Fornari C., Lanzardo S., Conti L., Cavallo F., Balbo G. and Calogero RA. Multi-level model for the investigation of oncoantigen-driven vaccination effect. BMC Bioinformatics . 2013;14 Suppl 6:S11.
2012
Mayer KF, ..., Cordero F, Beccuti M, et al. A physical, genetic and functional sequence assembly of the barley genome Nature 491, 711:716, November 2012
Marbach D., Costello J.C., Kuffner R., Vega N., Prill R.J., Camacho D., Allison K.R., the DREAM5 Consortium, Kellis M., Collins J.J., and Stolovitzky G., Wisdom of crowds for robust gene network inference Nature Methods vol. 9, p. 796-804, 2012, Francesca Cordero co-authored the paper as member of a consortium.
Cordero F., Beccuti M, Donatelli S, Calogero RA. Large Disclosing the Nature of Computational Tools for the Analysis of Next Generation Sequencing Data. Current Topics in Medicinal Chemistry vol. 12, p. 1320-1330, 2012
Cordero F, Beccuti M, Arigoni M, Donatelli S, Calogero RA Dissecting a massive parallel sequencing workflow for quantitative miRNA expression analysis PLoS ONE 2012; 7(2).
2011
Cordero F, Horvath A, Manini D, Napione L., De Pierro M, Pavan S, Picco A, Veglio A, Sereno M., Bussolino F. and Balbo G. Simplification of a complex signal transduction model by the application of invariants and flow equivalent server Theoretical Computer Science Elsevier 2011 Oct; vol:412, pp 6036-6057, ISSN: 0304-3975.
Baldi A, Piccolo MT, Boccellino MR, Donizetti A, Cardillo I, La Porta R, Quagliuolo L, Spugnini EP, Cordero F., Citro G, Menegozzo M, Calogero RA, Crispi S. Apoptosis Induced by Piroxicam plus Cisplatin Combined Treatment Is Triggered by p21 in Mesothelioma. PLOS ONE, 2011 vol. 6(8); ISSN: 1932-6203.
Bonfante P., Cordero F., Ghignone S., Ienco D., Lanfranco L., Leonardi G., Meo R., Montani S., Roversi L., and Visconti A., A Modular Database Architecture Enabled to Comparative Sequence Analysis LNCS Transactions on Large-Scale Data- and Knowledge-Centered Systems, Springer,2011, vol:6934, pp 372-382, ISSN: 1869-1994.
Visconti A., Esposito R., and Cordero F. Restructuring the Gene Ontology to Emphasize Regulative Pathways and to Improve Gene Similarity Queries International Journal Computational Biology and Drug Design Inderscience Publishers, vol:4, pp 220-238. ISSN 1756-0764.
Lenzken SC, Romeo V, Zolezzi F, Cordero F, Lamorte G, Bonanno D, Biancolini D, Cozzolino M, Pesaresi MG, Maracchioni A, Sanges R, Achsel T, Carrí MT, Calogero RA, Barabino SM. Mutant SOD1 and mitochondrial damage alter expression and splicing of genes controlling neuritogenesis in models of neurodegeneration. Human Mutation 2011 Feb;32(2) pp 168-82. ISSN: 1098-1004.
From 2004 to 2010
Pensa RG, Boulicaut J-F, Cordero F, Atzori M. Co-clustering Numerical Data under User-defined Constraints Statistical Analysis and Data Mining, 2010 Wiley-Blackwell. Vol. 3(1) 2010. pp 38-55. ISSN: 1932-1864.
Della Beffa C, Cordero F, Calogero RA. Dissecting an alternative splicing analysis workflow for GeneChip Exon 1.0 ST Affymetrix arrays BMC Genomics, 2008 2008 Nov 28;9:571. ISSN: 1471-2164.
Cordero F, Botta M, Calogero RA. Microarray data analysis and mining approaches Functional Genomics and Proteomics 2008 Dec;6(4):265-81.
Calogero RA, Cordero F, Forni G, Cavallo F Inflammation and breast cancer. Inflammatory component of mammary carcinogenesis in ErbB2 transgenic mice Breast Cancer Research 2007 Aug 10;9(4):211 ISSN: 1465-542X.
Sanges R, Cordero F, Calogero RA oneChannelGUI: a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language Bioinformatics 2077 Sep 17. ISSN: 1367-4803.
Saviozzi S, Cordero F, Lo Iacono M, Novello S, Scagliotti G, Calogero AR Selection of suitable reference genes for accurate normalization of gene expression profile studies in non-small cell lung cancer, BMC Cancer 2006 Jul 26;6:200.
Cavallo F, Astolfi A, Iezzi M, Cordero F, Lollini PL, Forni G, Calogero RA An integrated approach of immunogenomics and bioinformatics to identify new Tumor Associated Antigens (TAA) for mammary cancer immunological prevention BMC Bioinformatics Dic 1. ISSN: 1471-2105.
Lazzarato F, Franceschinis G, Botta M, Cordero F, Calogero RA RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets Bioinformatics 2004 Nov 1;20(16):2848-50. 2004 Apr 29. ISSN 1367-4803.