Enabling technologies for Agro and Bioinformatics in Argentina, 18 novembre 2013

… Séminaires de l’UMR ITAP …

Lundi 18 novembre 2013 à 15h, Irstea Montpellier, bât. Minéa , salle Orient

Enabling technologies for Agro and Bioinformatics in Argentina

par Elizabeth Tapia – http://www.cifasis-conicet.gov.ar 

Deputy Director. CIFASIS (Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas). Research
unit dependent of CONICET. Rosario, Argentina.
Associated Professor. Escuela de Ing. Electrónica, Facultad de Ciencias Exactas e Ingeniería, Universidad Nacional de
Rosario, Argentina. 

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Abstract :

The ISOBUS-A project is focused on the development of ISOBUS technology in Argentina. A main objective is the design of robust ECUs and flexible ISOBUS Gateways for the national industry of agricultural implements. One step further, the project considers the development of advanced data integration tools for supporting high quality  decision-making in the management of agricultural resources.
The BARCODE-A project is focused on bioinformatics issues arising in the design of multiplex systems aiming the target enrichment of genomic regions for the deployment NGS projects of nonmodel plants of national interest. We aim the design of DNA barcodes robust to sequencing errors and showing good scalability properties with respect to the number of samples that can be multiplexed. For this purpose, the systematic design of DNA barcodes from short nonbinary Low Density Parity Check codes is considered.

Selected Publications (last 5 Years)
1. Murillo J., Guillaume S., Tapia E., Bulacio P. (2013) Revised HLMS: A useful algorithm for fuzzy measure identification.
Information Fusion. Publisher Elsevier. In press.
2. Ornella L., Singh S., Perez P., Burgueño J., Singh R., Tapia E., Bhavani S., Dreisigacker S., Braun H., Mathews K. and Crossa J. (2012)
Genomic Prediction of Genetic Values for Resistance to Wheat Rusts. The Plant Genome Vol. 5, No: 3, pp. 136-148. Publisher
Crop Science Society of America.
3. Tapia E., Bulacio P., Angelone L. (2012) Sparse and Stable Gene Selection with Consensus SVM-RFE. Pattern Recognition Letters.
Vol. 33, No. 2, pp. 164-172. Publisher Elsevier.
4. Tapia E., Ornella L., Bulacio P., Angelone, L. (2011). Multiclass classification of microarray data samples with a reduced number of
genes. BMC Bioinformatics, 12:59. doi: 10.1186/1476-2105-12-59. Publisher BioMed Central.
5. Coronel J., Ornella L., Bulacio P., Nardón G., Tapia E. (2011) Testing of an Opto-Electronic Sensor for the high throughput
measurement of seed spatial distributions. L.A.A.R.: Latin American Applied Research, Vol. 41, No. 2, pp. 121-126.
6. Ornella L., Bulacio P., Tapia E. (2010) Supervised machine learning and heterotic classification of maize (Zea mays L.) using
molecular marker data. Computers and Electronics in Agriculture, Vol 74(2):250-257. Publisher: Elsevier.
7. Tapia E., Bulacio P., Angelone L. (2009) Recursive ECOC Classification. Pattern Recognition Letters. Vol. 31(3):210-215. Elsevier.
8. Bulacio P., Guillaume S. Tapia, E., Magdalena L. (2009). A selection approach for scalable fuzzy integral combination. Information
Fusion. Vol. 11(2):208-213. Publisher: Elsevier.