Artículos

Use of Arabidopsis thaliana as a model to understand specific carcinogenic events: Comparison of the molecular machinery associated with cancer-hallmarks in plants and humans. Authors: Clavijo-Buriticá D; Sosa C; Cárdenas R; Mosquera A; Álvarez A; Medina J; and Quimbaya M.

Doi: https://doi.org/10.1016/j.heliyon.2023.e15367

Bioactive compounds as an alternative for the sugarcane industry: Towards an integrative approach. Authors: Molina-Cortés A; Quimbaya M; Toro-Gomez A; and Tobar-Tosse F. 

Doi: https://doi.org/10.1016/j.heliyon.2023.e13276

GOCompare: An R package to compare functional enrichment analysis between two species. Authors: Sosa C; Clavijo-Buritica D; García-Merchan V; Lopez-Rozo N; Riccio-Rengifo C; Diaz M; Arango D; Quimbaya M. 

Doi: https://doi.org/10.1016/j.ygeno.2022.110528

Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification. Authors: Romero M; Kenji  F; Finke J; Rocha C; Vens C. 

Doi: https://doi.org/10.1016/j.compbiomed.2022.106423

Phytochemical and Biological Study of Trophic Interaction between Pseudosphinx Tetrio L. Larvae and Allamanda Cathartica L. Authors: Matignon L;  Marietou M; Monpierre M; Vicentini M; Valencia D; Palmeira-Mello M; Sylvestre M; Pruneau L; Sylvestre M; Domenech A; Benfodda Z; Meffre P and Torrejón G.

Doi: https://www.mdpi.com/2089624

Prediction of crossover recombination using parental genomes. Authors: Peñuela; Riccio-Rengifo; Finke; Rocha; Gkanogiannis; Wing; Lorieux. 

Doi: https://doi.org/10.1371/journal.pone.0281804

Non-invasive in-vivo glucose-based stress monitoring in plants. Authors: Perdomo S; De la Paz E; Del Caño R; Seker S; Saha T; Wang J; and Jaramillo-Botero A.

Doi: https://doi.org/10.1016/j.bios.2023.115300

Predicted Three-Dimensional Structure of the GCR1 Putative GPCR in Arabidopsis thaliana and Its Binding to Abscisic Acid and Gibberellin A1. Authors: Hernández P; Arango C; Kim S; Jaramillo-Botero A; and Goddard W. 

Doi: https://doi.org/10.1021/acs.jafc.2c06846

Whole-genome DNA methylation patterns of contrasting genotypes to aluminum stress in Oryza Saviva (L.) and Oryza glumaepatula (Steud). Authors: Gallo-Franco, JH; Ghneim-Herrera, T; Tobar-Tosse, F; Romero, MA; Chaura, J; Quimbaya, MA.

Doi:https://onlinelibrary.wiley.com/doi/epdf/10.1002/pld3.430

Aerial Identification of Amazonian Palms in High-DensityForest Using Deep Learning (A2). Authors: Marin W; Mondragon I; Colorado J.

Doi: https://www.omicas.co/document/257

Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations. Authors: Gutierrez E; Mondragon I; Colorado J; and Mendez D.

Doi: https://doi.org/10.3390/plants11131636

Methylation in the CHH Context Allows to Predict Recombination in Rice. Authors: Peñuela M; Gallo-Franco J; Finke J; Rocha C; Gkanogiannis A; Ghneim-Herrera T; Lorieux M.

DOI: 10.3390/ijms232012505

The ÓMICAS alliance, an international research program on multi-omics for crop breeding optimization. Authors: Jaramillo-Botero A; Colorado J; Quimbaya M; Rebolledo M; Lorieaux M; Ghneim T; Arango C; Tobón L; Finke J; Rocha C; Muñoz F; Riascos J; Silva F; Chirinda N;  Caccamo M; Vandepoele K; Goddard  W. 

Doi: https://doi.org/10.3389/fpls.2022.992663

Feature extraction with spectral clustering for gene function prediction using hierarchical multi‑label classifcation. Authors: Romero M; Ramírez O; Finke J; Rocha C. 

Doi: https://doi.org/10.1007/s41109-022-00468-w

DNA-Binding Properties of Bis-N-substituted Tetrandrine Derivatives. Authors: González S; Valencia D; Gálvez J; Leyva M; Juárez O; Islas M; Calvillo M; Höpfl H; Íñiguez R; Rocha F; Ochoa K.

Doi: https://pubs.acs.org/doi/10.1021/acsomega.2c00225?ref=PDF

Influence of lasing parameters on the morphology and electrical resistance of polyimide‑based laser‑induced graphene (LIG). Authors: De la Roche J; Lopez-Cifuentes I; Jaramillo-Botero A. 

Doi: https://doi.org/10.1007/s42823-022-00447-2

Molecular Level Sucrose Quantification: A Critical Review. Authors: Lara-Cruz G; Jaramillo-Botero A. 

Doi: https://doi.org/10.3390/s22239511

All-Armchair Graphene Nanoribbon Field-Effect Uridine Diphosphate Glucose Sensor: First-Principles In-Silico Design and Characterization. Authors: Jaramillo-Botero A; Marmolejo-Tejada M.

Doi: https://ieeexplore.ieee.org/document/8630832

Gene expression datasets for two versions of Saccharum spontaneum AP85-441 genome. Authors: López-Rozo N; Ramirez-Castrillon M; Romero M; Finke J; Rocha C.

Doi: https://doi.org/10.3390/data8010001

Electrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (iii) (A1). Authors: Ayala M; López L; Jaramillo A; Valencia D.

Doi: https://doi.org/10.1016/j.jelechem.2022.116552

Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection (A2). Athors: Benítez H; Jiménez D; Quintero D: Alvear J. 

Doi: https://doi.org/10.1109/TGRS.2022.3168126

LiDAR Platform for Acquisition of 3D Plant Phenotyping Database. Authors: Forero M; Murcia H; Méndez D and Betancourt-Lozano J.

Doi: https://doi.org/10.3390/plants11172199

Four-Dimensional Plant Phenotyping Model Integrating Low-Density LiDAR Data and Multispectral Images (A2). Authors: García M: Méndez D. 

Doi: https://doi.org/10.3390/rs14020356

A top-down supervised learning approach to hierarchical multi-label classification in networks (A1). Authors: Romero M; Finke J; Rocha C. 

Doi: https://doi.org/10.1007/s41109-022-00445-3

Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops. Authors: Forero, MG; Mambuscay, CL; Monroy, MF; Miranda, SL; Méndez, D; Valencia, MO; Selvaraj, MG. 

Doi: https://doi.org/10.3390/plants10091791

Review—Bio-Nanosensors: Fundamentals and Recent Applications. Authors: Perdomo S; Marmolejo-Tejada J; and Jaramillo-Botero A.

Doi: 10.1149/1945-7111/ac2972

Identifying stress responsive genes using overlapping communities in co‑expression networks. Authors: Riccio‑Rengifo C; Finke J; Rocha C. 

Doi: https://doi.org/10.1186/s12859-021-04462-4

Four-terminal graphene nanoribbon sensor devices: In-silico design and characterization (A1). Computational Materials Science. Authors: Jaramillo-Botero A;  Marmolejo-Tejada JM. 2021. 

Doi: https://www.sciencedirect.com/science/article/pii/S0927025621002317?via%3Dihub

AI-driven maturity stage identification of Amazonian fruits (A2). IEEE Latin America Transactions 19(8). Authors: Colorado J; Mondragón I; Marin W.  

Doi: https://latamt.ieeer9.org/index.php/transactions/article/view/4577

Novel Feature-Extraction Methods for the Estimation of Above-Ground Biomass in Rice Crops. Sensors 2021, 21, 4369 (A1). Authors: Jiménez-Sierra, D.A.; Correa, E.S.; Benítez-Restrepo, H.D.; Calderon, F.C.; Mondragon, I.F.; Colorado, J.D.

Doi: https://doi.org/10.3390/s21134369 

Bio-Nanosensors: Fundamentals and Recent Applications. Journal of The Electrochemical Society (A1). Authors: Perdomo, S; Marmolejo-Tejada J.M.; Jaramillo-Botero A.

Doi: https://iopscience.iop.org/article/10.1149/1945-7111/ac2972

Comparative Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops (A2). Plants 2021, 10,1791. Authors: Forero, MG; Mambuscay, CL; Monroy, MF; Miranda, SL; Méndez, D; Valencia, MO; Selvaraj, MG.  

Doi: https://doi.org/10.3390/plants10091791

Photoacoustic evaluation of Musa acuminataplants (Musaceae) infected with the fungus Fusariumoxysporum(Nectriaceae) (A2). Authors: Gordillo F; Botero M. 

Doi: https://www.omicas.co/document/259

Graph-based data fusion applied to: change detection and biomass estimation in rice crops. Remote Sensing (A1). Authors: Jiménez DA; Benítez HD; Vargas HD; Chanussot J. 

Doi: https://doi.org/10.3390/rs12172683

Ground confluence of order-sorted conditional specifications modulo axioms (A1). Authors: Durán F; Meseguerb J; Rocha C.

Doi: https://www.sciencedirect.com/science/article/pii/S2352220819301580?via%3Dihub

A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops (A1). Authors: Colorado, JD; Calderón, F; Méndez, D; Petro, E; Rojas, JP; Correa, ES; Mondragón, IF; Rebolledo, MC; Jaramillo-Botero. 2020.

Doi: https://doi.org/10.1371/journal.pone.0239591

Estimation of Nitrogen in Rice Crops From UAV-Captured Images (A2). Remote Sensing 12(20): 3396. Athors: Colorado, JD; Cera-Bornacelli, N; Caldas, JS; Petro, E; Rebolledo, MC; Cuellar, D; Calderon, F; Mondragon IF; Jaramillo-Botero A.

Doi:https://doi.org/10.3390/rs12203396

Epigenetic control of plant response to heavy metal stress: A new window to explain aluminum tolerance (A1). Frontiers in Plant Science. Authors: Quimbaya M; Gallo J; Sosa C; Ghneim, T 2020.

DOI 10.3389/fpls.2020.602625

Effect of the suspension of Ag-incorporated TiO2 nanoparticles (Ag-TiO2 NPs) on certain growth, physiology and phytotoxicity parameters in spinach
seedlings (A1). Authors: Gordillo-Delgado F, Zuluaga-Acosta J, Restrepo-Guerrero G.

Doi: https://doi.org/10.1371/journal.pone.0244511  

All-Armchair Graphene Nanoriboon Field Uriding Phosphate Glucose Sensor: First-Principles In-Silico Design and Characterization (A1). En IEEE Sensors. Authors:Jaramillo-Botero A; Marmolejo-Tejada JM. 

DOI 10.1109/JSEN.2019.2896448

High-Throughput Biomass Estimation in Rice Crops Using UAV Multispectral Imagery. Journal of Intelligent & Robotic Systems. (A1). Devia CA; Rojas JP; Petro E; Martínez C; Mondragon IF; Patino D; Rebolledo MC; Colorado J.

DOI 10.1007/s10846-019-01001-5

Partially-oxidized phosphorene sensor for the detection of sub-nano Molar concentrations of nitric oxide: A first-principles study (A1). Physical Chemistry Chemical Physics. Authors: J. M. Marmolejo-Tejada and A. Jaramillo-Botero

DOI 10.1039/C9CP03912K

Effect of surface oxidation on the electronic transport properties of phosphorene gas sensors: a computational study (A1). The Royal Society of Chemistry. Authors: J. M. Marmolejo-Tejada and A. Jaramillo-Botero. 

DOI: 10.1039/d0ra00416b

A more complete story of the geneticbases of resistance 1to the Rice hoja blanca virus. Authors: Silva A; Montoya M; Quintero C; Cuasquer J; Tohme J; Graterol E; Cruz M; Lorieux M.  

Preview: https://www.researchsquare.com/article/rs-1225485/v1

Electrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (III). Authors: Valencia D; Ayala M; Lopez L; Jaramillo A.

Study of the Senescence of Rice Leaves throughStationary and Time-resolved Photoluminescence. Authors: Fonthal G; Giraldo L; Tirado L. 

Water stress remote sensing in Solanum Phureja crops using aWSN approach. IEEE Latin America Transactions. Authors: Gutierrez E; Mendez D; Mondragon I; Colorado J. 2021.

Chemoecological study of trophic interaction between Pseudosphinx tetrio L. Larvae and Allamanda cathartica L. Authors: Matignon L; Marietou M; Vicentini M; Valencia D; Palmeira M; Muriel S; Passe N; Vega A; Domenech A; Benfodda Z; Meffre P; Cebrián G.

Increasing the spatial resolution for monitoring potato crops using a Kriging-driven WSN. Plants, special Issue Remote Sensing Applications for Field-Based Plant Phenomics. Authors: Gutierrez E; Mendez D; Mondragon J; Colorado J. 2021.

Analyses of the proteome composition in plant

Conservation of functional networks related whit fundamental processes in plants and humans

Genómica comparativa entre Arabidiopsis y arroz en relación a rendimiento

3D plant morphological modeling using low-density LiDARdata fusion with multispectral imagery. Plants, special Issue Remote Sensing Applications for Field-Based Plant Phenomics. Authors: Garcia M; Mendez D; Colorado J. 2021.