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Generación de nuevo conocimiento

Artículos

Estado: Publicado
AñoEstadoDescripciónProyecto
2023Publicado

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

Genómica
2023Publicado

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

Genómica
2023Publicado

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. 

Doi: https://doi.org/10.3390/metabo13050659

Genómica
2023Publicado

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

Genómica
2023Publicado

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

In-silico
2023Publicado

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

Nanosensores
2023Publicado

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

In-silico
2023Publicado

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

Nanosensores
2023Publicado

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

Metabolómica
2022Publicado

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
2022Publicado

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

 

Fenómica
2022Publicado

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

Fenómica
2022Publicado

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

In-silico
2022Publicado

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

Seguridad Alimentaria
2022Publicado

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

 

In-silico
2022Publicado

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

 

Nanosensores
2022Publicado

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

Nanosensores
2022Publicado

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

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

Nanosensores
2022Publicado

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

Nanosensores
2022Publicado

 

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

In-silico
2022Publicado

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

Nanosensores
2022Publicado

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

Fenómica
2022Publicado

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

Fenómica
2022Publicado

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

Fenómica
2022Publicado

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

In-silico
2021Publicado

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

Nanosensores
2021Publicado

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

Doi: 10.1149/1945-7111/ac2972

Nanosensores
2021Publicado

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

In-silico
2021Publicado

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
2021Publicado

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
2021Publicado

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 

Fenómica
2021Publicado

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
2021Publicado

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

Nanosensores
2020Publicado

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

Fenómica
2020Publicado

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

Fenómica
2020Publicado

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
2020Publicado

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

Fenómica
2020Publicado

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

Fenómica
2020Publicado

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

 

Genómica
2020Publicado

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  

Fenómica
2019Publicado

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

Nanosensores
2019Publicado

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

Fenómica
2019Publicado

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

Nanosensores
2019Publicado

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

Nanosensores
Estado: Sometido
AñoEstadoDescripciónProyecto
2022Sometido

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
2022SometidoElectrochemical modified electrode with bismuth film for ultrasensitive determination of aluminum (III). Authors: Valencia D; Ayala M; Lopez L; Jaramillo A.Nanosensores
2022SometidoStudy of the Senescence of Rice Leaves throughStationary and Time-resolved Photoluminescence. Authors: Fonthal G; Giraldo L; Tirado L. Fenómica
2021SometidoWater 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
2021SometidoChemoecological 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
Estado: En preparación
AñoEstadoDescripciónProyecto
2021En preparaciónIncreasing 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
2021En preparaciónAnalyses of the proteome composition in plant 
2021En preparaciónConservation of functional networks related whit fundamental processes in plants and humans 
2021En preparaciónGenómica comparativa entre Arabidiopsis y arroz en relación a rendimientoGenómica
2021En preparación3D 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

AñoEstadoDescripciónProyecto 
2021Publicado

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

AñoEstadoDescripciónProyecto 
2023PublicadoPhenoagro: sistema y método para caracterización de fenotipado de cultivos agrícolas a partir de la concentración de metano detectada. Authors: María Camila Rebolledo, Juan Andrés Cardoso, Andrés Jaramillo, Hernán Dario Benitez y Luis Eduardo TobónFenómica 
2022PublicadoSíntesis de nanopartículas de oro funcionalizadas y nanocompuestos que las contiene para la medición de sacarosa o almidón en células (Patente en Colombia 2020) -  Synthesis of functionalised gold nanoparticles and nanocompounds containing same for measuring sucrose or starch in cells (Patente en Estados Unidos y Europa 2022) . Authors: Andrés Jaramillo-Botero, Diana Patricia, Hermith Ramírez y Pedro Hernández Nanosensores 
2020PublicadoEquipo medidor fotoacústico portátil de razón de evolución de oxígeno. Authors: Fernando Gordillo, Jhon Alexander García y Diego Fernando ValenciaFenómica 
2020PublicadoNanosensor de efecto de campo para la detección de metabolitos simples en organismos vivos. Authors: Andrés Jaramillo y Juan Manuel MarmolejoNanosensores 
2020PublicadoMétodo para la medición directa de UDP-glucosa o adpglucosa y de medición indirecta de la concentración de sacarosa o almidón en fluidos intracelulares a partir de nanopartículas de oro funcionalizadas de Pontificia Universidad Javeriana y Centro Internacional de Agricultura Tropical - CIATNanosensores 

 Estado: Publicado

Generación de nuevo conocimiento


Publicado
Effect of surface oxidation on the electronic transport properties of phosphorene gas sensors: a computational study

The Royal Society of Chemistry. Authors: J. M. Marmolejo-Tejada and A. Jaramillo-Botero. 

Saber más
Publicado
Partially-oxidized phosphorene sensor for the detection of sub-nano Molar concentrations of nitric oxide: A first-principles study

Physical Chemistry Chemical Physics. Authors: J. M. Marmolejo-Tejada and A. Jaramillo-Botero

Saber más
Publicado
o All-Armchair Graphene Nanoriboon Field Uriding Phosphate Glucose Sensor: First-Principles In-Silico Design and Characterization

En IEEE Sensors. Authors:Jaramillo-Botero A; Marmolejo-Tejada JM. 

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Publicado
Effect of the suspension of Ag-incorporated TiO2 nanoparticles (Ag-TiO2 NPs) on certain growth, physiology and phytotoxicity parameters in spinach seedlings

Plose one. Authors: Gordillo-Delgado F, Zuluaga-Acosta J, Restrepo-Guerrero G.

Saber más
Publicado
Epigenetic control of plant response to heavy metal stress: A new window to explain aluminum tolerance

Frontiers in Plant Science. Authors: Quimbaya M; Gallo J; Sosa C; Ghneim, T

Saber más
Publicado
Estimation of Nitrogen in Rice Crops From UAV-Captured Images

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.

Saber más
Publicado
A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops

Plose one. Authors: Colorado, JD; Calderón, F; Méndez, D; Petro, E; Rojas, JP; Correa, ES; Mondragón, IF; Rebolledo, MC; Jaramillo-Botero.

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Publicado
Graph-based data fusion applied to: change detection and biomass estimation in rice crops. Remote Sensing

Remote sensing. Authors: Jiménez DA; Benítez HD; Vargas HD; Chanussot J. 

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Publicado
Identifying stress responsive genes using overlapping communities in co‑expression networks.

BMC Bioinformatics. Authors: Riccio‑Rengifo C; Finke J; Rocha C.

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