Artículos
Año | Estado | Descripción | Proyecto |
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2023 | Publicado |
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. |
Genómica |
2023 | Publicado |
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. |
Genómica |
2023 | Publicado |
A Holistic Approach from Systems Biology Reveals the Direct Influence of the Quorum-Sensing Phenomenon on Pseudomonas aeruginosa Metabolism to Pyoverdine Biosynthesis. Authosr: Clavijo-Buriticá D; Arévalo-Ferro C; González A. |
Genómica |
2023 | Publicado |
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. |
Genómica |
2023 | Publicado |
Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification. Authors: Romero M; Kenji F; Finke J; Rocha C; Vens C. |
In-silico |
2023 | Publicado |
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. |
Nanosensores |
2023 | Publicado |
Prediction of crossover recombination using parental genomes. Authors: Peñuela; Riccio-Rengifo; Finke; Rocha; Gkanogiannis; Wing; Lorieux. |
In-silico |
2023 | Publicado |
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. |
Nanosensores |
2023 | Publicado |
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. |
Metabolómica |
2022 | Publicado |
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 |
Genómica |
2022 | Publicado |
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
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Fenómica |
2022 | Publicado |
Optimal Deployment of WSN Nodes for Crop Monitoring Based on Geostatistical Interpolations. Authors: Gutierrez E; Mondragon I; Colorado J; and Mendez D. |
Fenómica |
2022 | Publicado |
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. |
In-silico |
2022 | Publicado |
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. |
Seguridad Alimentaria |
2022 | Publicado |
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
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In-silico |
2022 | Publicado |
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
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Nanosensores |
2022 | Publicado |
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. |
Nanosensores |
2022 | Publicado |
Molecular Level Sucrose Quantification: A Critical Review. Authors: Lara-Cruz G; Jaramillo-Botero A. |
Nanosensores |
2022 | Publicado |
All-Armchair Graphene Nanoribbon Field-Effect Uridine Diphosphate Glucose Sensor: First-Principles In-Silico Design and Characterization. Authors: Jaramillo-Botero A; Marmolejo-Tejada M. |
Nanosensores |
2022 | Publicado |
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. |
In-silico |
2022 | Publicado |
Electrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (iii) (A1). Authors: Ayala M; López L; Jaramillo A; Valencia D. |
Nanosensores |
2022 | Publicado |
Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection (A2). Athors: Benítez H; Jiménez D; Quintero D: Alvear J. |
Fenómica |
2022 | Publicado |
LiDAR Platform for Acquisition of 3D Plant Phenotyping Database. Authors: Forero M; Murcia H; Méndez D and Betancourt-Lozano J. |
Fenómica |
2022 | Publicado |
Four-Dimensional Plant Phenotyping Model Integrating Low-Density LiDAR Data and Multispectral Images (A2). Authors: García M: Méndez D. |
Fenómica |
2022 | Publicado |
A top-down supervised learning approach to hierarchical multi-label classification in networks (A1). Authors: Romero M; Finke J; Rocha C. |
In-silico |
2021 | Publicado |
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. |
Nanosensores |
2021 | Publicado |
Review—Bio-Nanosensors: Fundamentals and Recent Applications. Authors: Perdomo S; Marmolejo-Tejada J; and Jaramillo-Botero A. |
Nanosensores |
2021 | Publicado |
Identifying stress responsive genes using overlapping communities in co‑expression networks. Authors: Riccio‑Rengifo C; Finke J; Rocha C. |
In-silico |
2021 | Publicado |
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 |
Nanosensores |
2021 | Publicado |
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 |
Fenómica |
2021 | Publicado |
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. |
Fenómica |
2021 | Publicado |
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 |
Nanosensores |
2021 | Publicado |
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. |
Nanosensores |
2020 | Publicado |
Photoacoustic evaluation of Musa acuminataplants (Musaceae) infected with the fungus Fusariumoxysporum(Nectriaceae) (A2). Authors: Gordillo F; Botero M. |
Fenómica |
2020 | Publicado |
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. |
Fenómica |
2020 | Publicado |
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 |
In-silico |
2020 | Publicado |
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. |
Fenómica |
2020 | Publicado |
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. |
Fenómica |
2020 | Publicado |
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.
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Genómica |
2020 | Publicado |
Effect of the suspension of Ag-incorporated TiO2 nanoparticles (Ag-TiO2 NPs) on certain growth, physiology and phytotoxicity parameters in spinach |
Fenómica |
2019 | Publicado |
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. |
Nanosensores |
2019 | Publicado |
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. |
Fenómica |
2019 | Publicado |
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 |
Nanosensores |
2019 | Publicado |
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. |
Nanosensores |
Año | Estado | Descripción | Proyecto |
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2022 | Sometido |
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 |
Seguridad Alimentaria |
2022 | Sometido |
Electrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (III). Authors: Valencia D; Ayala M; Lopez L; Jaramillo A. |
Nanosensores |
2022 | Sometido |
Study of the Senescence of Rice Leaves throughStationary and Time-resolved Photoluminescence. Authors: Fonthal G; Giraldo L; Tirado L. |
Fenómica |
2021 | Sometido |
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. |
Fenómica |
2021 | Sometido |
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. |
Nanosensores |
Año | Estado | Descripción | Proyecto |
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2021 | En preparación |
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. |
Fenómica |
2021 | En preparación |
Analyses of the proteome composition in plant |
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2021 | En preparación |
Conservation of functional networks related whit fundamental processes in plants and humans |
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2021 | En preparación |
Genómica comparativa entre Arabidiopsis y arroz en relación a rendimiento |
Genómica |
2021 | En preparación |
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. |
Fenómica |
Libros
Año | Estado | Descripción | Proyecto | |
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2021 | Publicado |
Computer Vision for the Recognition of Fruit Maturity in Amazonian Palms Using an UAV. In book, Advances in Automation and Robotics Research, Lecture Notes in Networks and Systems. Authors: Marin-Rodriguez, W; Mondragon I; Colorado J. Doi: 10.1007/978-3-030-40309-6 ISBN 978-3-030-40308-9, Springer. |
Fenómica |
Estado: Publicado
Productos patentados
Estado: Publicado