Office: ML 622
Extension: 1686
ALGORIT.BIOLOGIA COMPUTACIONAL
ALGORITMICA Y PROGR. OBJ. I
ESTADISTICA BIOLOGIA COMPUTAC.
ALGORITMICA Y PROGR. OBJ. I
FUNDAM.PROG. CIENCIAS BIOLOGIC
DISEÑO Y ANALISIS DE ALGORI.
ALGORIT.BIOLOGIA COMPUTACIONAL
DISEÑO Y ANALISIS DE ALGORI.
MATEMÁTICA ESTRUCTURAL Y LÓGIC
DISEÑO Y ANALISIS DE ALGORI.
FUNDAM.PROG. CIENCIAS BIOLOGIC
DISEÑO Y ANALISIS DE ALGORI.
ANALISIS DATOS GENOMICA POBLAC
ALGORIT.BIOLOGIA COMPUTACIONAL
FUNDAM.PROG. CIENCIAS BIOLOGIC
ALGORITMICA Y PROGR. OBJ. I
DISEÑO Y ANALISIS DE ALGORI.
DISEÑO Y ANALISIS DE ALGORI.
ALGORIT.BIOLOGIA COMPUTACIONAL
ALGORITMICA Y PROGR. OBJ. I
FUNDAM.PROG. CIENCIAS BIOLOGIC
INTRODUCCIÓN A LA PROGRAMACIÓN
DISEÑO Y ANÁLISIS DE ALGORI.
POYECTO DE PROFUNDIZACIÓN
INTRODUCCIÓN A LA PROGRAMACIÓN
DISEÑO Y ANÁLISIS DE ALGORI.
ALGORIT.BIOLOGIA COMPUTACIONAL
DISEÑO Y ANÁLISIS DE ALGORI.
ESTADISTICA BIOLOGIA COMPUTAC.
POYECTO DE PROFUNDIZACIÓN
DISEÑO Y ANÁLISIS DE ALGORI.
ALGORIT.BIOLOGIA COMPUTACIONAL
POYECTO DE PROFUNDIZACIÓN
PROYECTO DE GRADO
POYECTO DE PROFUNDIZACIÓN
ESTADISTICA BIOLOGIA COMPUTAC.
ANÁLISIS DE ALGORITMOS
DISEÑO Y ANÁLISIS DE ALGORI.
ALGORIT.BIOLOGIA COMPUTACIONAL
DISEÑO Y ANÁLISIS DE ALGORI.
MATEMÁTICA ESTRUCTURAL Y LÓGIC
PROYECTO DE GRADO
DISEÑO Y ANÁLISIS DE ALGORI.
PROYECTO DE GRADO
ESTADISTICA BIOLOGIA COMPUTAC.
PROYECTO DE GRADO
POYECTO DE PROFUNDIZACIÓN
ALGORIT.BIOLOGIA COMPUTACIONAL
DISEÑO Y ANÁLISIS DE ALGORI.
ANÁLISIS DE ALGORITMOS
POYECTO DE PROFUNDIZACIÓN
ESTADISTICA BIOLOGIA COMPUTAC.
PROYECTO DE GRADO
DISEÑO Y ANÁLISIS DE ALGORI.
Education
| Degree | Discipline | Institution | Year |
| Ph.D | Computer science and engineering | University of Connecticut, Estados Unidos | 2010 |
| M.Sc | Systems and Computing Engineering | Universidad de los Andes | 2004 |
| B.Sc | Systems and Computing Engineering | Universidad de los Andes | 2003 |
Academic experience
| Institution | Rank | Tittle (chair, coordinator, etc.) | When
(ex. 1995-1997) |
Full time or part-time |
| Universidad de los Andes | Adjunct | — | 2003-2007 | PT |
Non-academic experience
| Company or entity | Title | Brief description of position | When (ex. 1995-1997) | Full time or part-time |
| Centro Internacional de Agricultura Tropical (CIAT) | Bioinformatic researcher | Management of genomics data for rice, cassava and beans | 2012-2016 | Full time |
| Life Technologies | Intern | Software development for analysis of SOLiD reads | 2009-2009 | Full time |
| Heinsohn business technology | Developer and project manager | Management of software development projects | 2004-2007 | Full time |
Certifications or professional registrations
Colombia, Professional Card
Current membership in professional organizations
Honors and awards
Honors degree. B.Sc in systems and computing engineering.
Honors degree. M.Sc in systems and computing engineering.
Service activities (within and outside of the institutions)
Reviewer of the journals PLoS One, BMC genomics, Rice, BMC bioinformatics and Nucleic Acids Research
Scientific committee of the bioinformatics conferences ISBRA and ICCABS
List of the most important publications and presentations from the past five years
Duitama J, et al. Deep Assessment of Genomic Diversity in Cassava for Herbicide Tolerance and Starch Biosynthesis. Computational and Structural Biotechnology Journal 15: 185-194, 2017. http://doi.org/10.1016/j.csbj.2017.01.002
Ho et al. The sole introduction of two single-point mutations establishes glycerol utilization in Saccharomyces cerevisiae CEN. PK derivatives. Biotechnology for Biofuels 10: 10, 2017. http://doi.org/10.1186/s13068-016-0696-6
Perea et al. Bioinformatic analysis of genotype by sequencing (GBS) data with NGSEP. BMC Genomics 17 (Suppl 5): 498, 2016. http://doi.org/10.1186/s12864-016-2827-7
Pulido-Tamayo S, Duitama J and Marchal K. EXPLoRA-web: linkage analysis of quantitative trait loci using bulk segregant analysis. Nucleic acids research 44: W142-W146, 2016. https://doi.org/10.1093/nar/gkw298
Duitama et al. Whole genome sequencing of elite rice cultivars as a comprehensive information resource for marker assisted selection. PLoS One 10(4): e0124617, 2015. https://doi.org/10.1371/journal.pone.0124617
Duitama et al. Large-scale analysis of tandem repeat variability in the human genome. Nucleic acids research 42 (9): 5728-5741, 2014. https://doi.org/10.1093/nar/gku212
Duitama et al. An integrated framework for discovery and genotyping of genomic variants from high-throughput sequencing experiments. Nucleic acids research 42 (6): e44. 2014. https://doi.org/10.1093/nar/gkt1381
List the most recent professional development activities
Design of the courses “Algorithms in computational biology” and “Statistics in computational biology” for the masters program in computational biology.
Percentage of time available for research or scholarly activities
Teaching 60% and Research 40%
Percentage of time committed to the program
100% (Full Time)
