David Montaner is a statistician who works in computational genomics, focusing on massive data analysis and gene set analysis. He has developed methods for multi-dimensional gene set analysis and improving gene set analysis for next generation sequencing data. His ongoing work includes improving software implementation, adjusting methods for NGS data, extending the approach to other genomic features, and investigating topological pathway analysis and metagenomics.

1. The road of excess
. . . leads to the palace of wisdom (William Blake - 1790)
David Montaner
2014-06-19
David Montaner Computational Genomics @ CIPF 1/15

2. About
Statistician working in genomic research
Computational Genomics Department
(Bioinformatics - Ximo Dopazo)
Massive (high-throughput) data analysis - Genomics
methods
software and tools
practical application
Teaching . . . bioStat-coaching
short courses in bioinformatics
University of Valencia
student tutoring
e-learning materials
CEO at Genometra: bioinformatics consultancy
David Montaner Computational Genomics @ CIPF 2/15

3. Publications 2013
Differential gene-expression analysis defines a molecular
pattern related to olive pollen allergy.
Aguerri M, Calzada D, Montaner D, Mata M, Florido F,
Quiralte J, Dopazo J, Lahoz C, Cardaba B.
J Biol Regul Homeost Agents. 2013 Apr-Jun;27(2):337-50.
Defining the genomic signature of totipotency and
pluripotency during early human development.
Galan A, Diaz-Gimeno P, Poo ME, Valbuena D, Sanchez E,
Ruiz V, Dopazo J, Montaner D, Conesa A, Simon C.
PLoS One. 2013 Apr 17;8(4):e62135. doi:
10.1371/journal.pone.0062135. Print 2013.
Thesis
Methodological advances in the functional profiling of genomic
studies.
David Montaner Computational Genomics @ CIPF 3/15

4. Publications 2014
A novel locus for a hereditary recurrent neuropathy on
chromosome 21q21.
E Calpena, D Martínez-Rubio, J Arpa, JJ García-Peñas, D
Montaner, J Dopazo, F Palau, C Espinós.
Neuromuscular Disorders, 2014.
Pathway network inference from gene expression data.
Ignacio Ponzoni, María José Nueda, Sonia Tarazona, Stefan
Götz, David Montaner, Julieta Sol Dussaut, Joaquín
Dopazo, Ana Conesa.
BMC Systems Biology, 2014. 8 (2), 1-17.
Quantitative modeling of clinical, cellular, and
extracellular matrix variables suggest prognostic
indicators in cancer: a model in neuroblastoma.
Tadeo I, Piqueras M, Montaner D, Villamón E, Berbegall
AP, Cañete A, Navarro S, Noguera R.
Pediatr Res. 2014 Feb;75(2):302-14.
David Montaner Computational Genomics @ CIPF 4/15

5. Research: Gene Set Analysis
Experimental data results + Database information: GO, KEGG. . .
David Montaner Computational Genomics @ CIPF 5/15

6. PhD Dissertation
Logistic regression models applied to GSA
log
π(x)
1 − π(x)
= κ + αx
Improvements
Including weights to account for gene importance
Estimate of weights from experimental data in repositories
Extension to multiple genomic dimension
log
π
1 − π
= κ + α x1 + β x2 + γ x1x2
David Montaner Computational Genomics @ CIPF 6/15

7. Multi Dimensional Gene Set Analysis
David Montaner Computational Genomics @ CIPF 7/15

8. Multi Dimensional Gene Set Analysis
David Montaner Computational Genomics @ CIPF 8/15

9. Multi Dimensional Gene Set Analysis
David Montaner Computational Genomics @ CIPF 9/15

10. Multi Dimensional Gene Set Analysis
David Montaner Computational Genomics @ CIPF 10/15

11. Multi Dimensional Gene Set Analysis
David Montaner Computational Genomics @ CIPF 11/15

12. Ongoing Work
Improving software implementation: R package, Babelomics
tool
Adjust the methods to NGS data
Extend to genomic features other than genes
miRNAs
SNPs
Functional Meta-analysis: combine GSA results from several
datasets
New research interests:
Topological pathway analysis
Metagenomics: genomic analysis of microbial communities
David Montaner Computational Genomics @ CIPF 12/15

13. Pathways Topology
David Montaner Computational Genomics @ CIPF 13/15

14. Ongoing work
Improving software implementation: R package, Babelomics
Tool
Adjust the methods to NGS data
Extend to genomic features other than genes
miRNAs
SNPs
Functional Meta-analysis: combine GSA results from several
datasets
New research interests:
Topological pathway analysis
Metagenomics: genomic analysis of microbial communities
David Montaner Computational Genomics @ CIPF 14/15

15. Thank You
Further reading . . .
www.dmontaner.com
bioinfo.cipf.es/dmontaner
www.linkedin.com/in/dmontaner
twitter.com/david_montaner
David Montaner Computational Genomics @ CIPF 15/15