MP10-Bioinformática Traslacional

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El Dr. Zwir junto con la Dra. Romero Zaliz y la Dra. del Val han creado y dirigen actualmente un grupo de trabajo compacto e interdisciplinar: el M4M Lab dentro del grupo de Soft Computing de la UGR. Gracias a su alto componente interdisciplinar, el grupo es capaz de desarrollar herramientas y modelos computacionales para solucionar problemas de medicina y biología de diversa índole. El M4M Lab ha colaborado estrechamente con instituciones internacionales tales como SRI Internacional (EEUU), Howard Hughes Medical Institute (HMMI), Washington University School of Medicine (St. Louis, EEUU), Yale University (EEUU), Janelia Farm (EEUU), y el Centro Alemán de Investigación del Cáncer (DKFZ, Alemania). El grupo de investigación participa activamente en la actividad docente en asignaturas de grado y postgrado, como son Introducción a la biología computacional Introducción a la Programación Biológica y Bioinformática.

Zwir, I; Arnedo, J; Mesa, A; del Val, C; de Erausquin, GA; Cloninger, CR

Temperament & Character account for brain functional connectivity at rest: A diathesis-stress model of functional dysregulation in psychosis

MOLECULAR PSYCHIATRY, 2023;

FI:11; D1

Philip, BA; Li, FH; Hawkins-Chernof, E; Chen, L; Swamidass, V; Zwir, I

Motor Assessment With the STEGA iPad App to Measure Handwriting in Children

AMERICAN JOURNAL OF OCCUPATIONAL THERAPY, 2023;

FI:2,9; Q1

Lehtimäki, M; Mishra, BH; Del-Val, C; Lyytikäinen, LP; Kähönen, M; Cloninger, CR; Raitakari, OT; Laaksonen, R; Zwir, I; Lehtimäki, T; Mishra, PP

Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods

SCIENTIFIC REPORTS, 2023;

FI:4,6; Q2

Maldonado, D; Cantudo, A; Perez, E; Romero-Zaliz, R; Quesada, EPB; Mahadevaiah, MK; Jimenez-Molinos, F; Wenger, C; Roldan, JB

TiN/Ti/HfO2/TiN memristive devices for neuromorphic computing: from synaptic plasticity to stochastic resonance

FRONTIERS IN NEUROSCIENCE, 2023;

FI:4,3; Q2

Chen, PW; Klaesner, J; Zwir, I; Morgan, KA

Detecting clinical practice guideline-recommended wheelchair propulsion patterns with wearable devices following a wheelchair propulsion intervention

ASSISTIVE TECHNOLOGY, 2023;

FI:1,8; Q3

de Erausquin, GA; Snyder, H; Brugha, TS; Seshadri, S; Carrillo, M; Sagar, R; Huang, YQ; Newton, C; Tartaglia, C; Teunissen, C; Hakanson, K; Akinyemi, R; Prasad, K; D'Avossa, G; Gonzalez-Aleman, G; Hosseini, A; Vavougios, GD; Sachdev, P; Bankart, J; Mors, NPO; Lipton, R; Katz, M; Fox, PT; Katshu, MZ; Iyengar, MS; Weinstein, G; Sohrabi, HR; Jenkins, R; Stein, DJ; Hugon, J; Mavreas, V; Blangero, J; Cruchaga, C; Krishna, M; Wadoo, O; Becerra, R; Zwir, I; Longstreth, WT; Kroenenberg, G; Edison, P; Mukaetova-Ladinska, E; Staufenberg, E; Figueredo-Aguiar, M; Yecora, A; Vaca, F; Zamponi, HP; Lo Re, V; Majid, A; Sundarakumar, J; Gonzalez, HM; Geerlings, MI; Skoog, I; Salmoiraghi, A; Boneschi, FM; Patel, VN; Santos, JM; Arroyo, GR; Moreno, AC; Felix, P; Gallo, C; Arai, H; Yamada, M; Iwatsubo, T; Sharma, M; Chakraborty, N; Ferreccio, C; Akena, D; Brayne, C; Maestre, G; Blangero, SW; Brusco, LI; Siddarth, P; Hughes, TM; Zuniga, AR; Kambeitz, J; Laza, AR; Allen, N; Panos, S; Merrill, D; Ibanez, A; Tsuang, D; Valishvili, N; Shrestha, S; Wang, S; Padma, V; Anstey, KJ; Ravindrdanath, V; Blennow, K; Mullins, P; Pria, A; Mosley, TH; Gowland, P; Girard, TD; Bowtell, R; Vahidy, FS

Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer’s Association Global Consortium

ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2022;

Zwir, I; Del-Val, C; Hintsanen, M; Cloninger, KM; Romero-Zaliz, R; Mesa, A; Arnedo, J; Salas, R; Poblete, GF; Raitoharju, E; Raitakari, O; Keltikangas-Jarvinen, L; de Erausquin, GA; Tattersall, I; Lehtimaki, T; Cloninger, CR

Evolution of genetic networks for human creativity

MOLECULAR PSYCHIATRY, 2022;

FI:13,437; D1

Terron-Cameron, LC; Pelaez-Vico, MA; Rodriguez-Gonzalez, A; del Val, C; Sandalio, LM; Romero-Puertasl, MC

Gene network downstream plant stress response modulated by peroxisomal H2O2

FRONTIERS IN PLANT SCIENCE, 2022;

FI:6,627; D1

de la Guardia-Bolivar, ED; Barrios-Rodriguez, R; Zwir, I; Jimenez-Moleon, JJ; del Val, C

Identification of novel prostate cancer genes in patients stratified by Gleason classification: Role of antitumoral genes

INTERNATIONAL JOURNAL OF CANCER, 2022;

FI:7,316; Q1

Roldan, JB; Maldonado, D; Aguilera-Pedregosa, C; Moreno, E; Aguirre, F; Romero-Zaliz, R; Garcia-Vico, AM; Shen, YQ; Lanza, M

Spiking neural networks based on two-dimensional materials

NPJ 2D MATERIALS AND APPLICATIONS, 2022;

FI:10,516; Q1

Zwir, I; Del-Val, C; Arnedo, J; Pulkki-Raback, L; Konte, B; Yang, SS; Romero-Zaliz, R; Hintsanen, M; Cloninger, KM; Garcia, D; Svrakic, DM; Lester, N; Rozsa, S; Mesa, A; Lyytikainen, LP; Giegling, I; Kahonen, M; Martinez, M; Seppala, I; Raitoharju, E; de

Three genetic-environmental networks for human personality

MOLECULAR PSYCHIATRY, 2021;

FI:15,992; D1

Romero-Zaliz, R; Cantudo, A; Perez, E; Jimenez-Molinos, F; Wenger, C; Roldan, JB

An Analysis on the Architecture and the Size of Quantized Hardware Neural Networks Based on Memristors

ELECTRONICS, 2021;

FI:2,397; Q3

Romero-Zaliz, R; Perez, E; Jimenez-Molinos, F; Wenger, C; Roldan, JB

Influence of variability on the performance of HfO2 memristor-based convolutional neural networks

SOLID-STATE ELECTRONICS, 2021;

FI:1,901; Q3

Perez, E; Perez-avila, AJ; Romero-Zaliz, R; Mahadevaiah, MK; Quesada, EPB; Roldan, JB; Jimenez-Molinos, F; Wenger, C

Optimization of Multi-Level Operation in RRAM Arrays for In-Memory Computing

ELECTRONICS, 2021;

FI:2,397; Q3

Romero-Zaliz, R; Perez, E; Jimenez-Molinos, F; Wenger, C; Roldan, JB

Study of Quantized Hardware Deep Neural Networks Based on Resistive Switching Devices, Conventional versus Convolutional Approaches

ELECTRONICS, 2021;

FI:2,397; Q3

Terron-Camero, LC; del Val, C; Sandalio, LM; Romero-Puertas, MC

Low endogenous NO levels in roots and antioxidant systems are determinants for the resistance of Arabidopsis seedlings grown in Cd

ENVIRONMENTAL POLLUTION, 2020;

FI:6,793; D1

Grinan-Lison, C; Olivares-Urbano, MA; Jimenez, G; Lopez-Ruiz, E; del Val, C; Morata-Tarifa, C; Entrena, JM; Gonzalez-Ramirez, AR; Boulaiz, H; Herrera, MZ; Nunez, MI; Marchal, JA

miRNAs as radio-response biomarkers for breast cancer stem cells

MOLECULAR ONCOLOGY, 2020;

FI:6,574; Q1

Karathanou, K; Lazaratos, M; Bertalan, E; Siemers, M; Buzar, K; Schertler, GFX; del Val, C; Bondar, AN

A graph-based approach identifies dynamic H-bond communication networks in spike protein S of SARS-CoV-2

JOURNAL OF STRUCTURAL BIOLOGY, 2020;

FI:3,071; Q2

del Val, C; Bondar, AN

Diversity and sequence motifs of the bacterial SecA protein motor

BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 2020;

FI:3,411; Q2

Reinoso-Gordo, JF; Romero-Zaliz, R; Leon-Robles, C; Mataix-SanJuan, J; Nero, MA

Fourier-Based Automatic Transformation between Mapping Shapes-Cadastral and Land Registry Applications

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020;

FI:2,239; Q3

Romero-Zaliz, R; Reinoso-Gordo, JF

An Updated Review on Watershed Algorithms

SOFT COMPUTING FOR SUSTAINABILITY SCIENCE, 2018;

Roldan, JB; Miranda, E; Gonzalez-Cordero, G; Garcia-Fernandez, P; Romero-Zaliz, R; Gonzalez-Rodelas, P; Aguilera, AM; Gonzalez, MB; Jimenez-Molinos, F

Multivariate analysis and extraction of parameters in resistive RAMs using the Quantum Point Contact model

JOURNAL OF APPLIED PHYSICS, 2018;

FI:2,176; Q2

Aldana, S; Roldan, JB; Garcia-Fernandez, P; Sune, J; Romero-Zaliz, R; Jimenez-Molinos, F; Long, S; Gomez-Campos, F; Liu, M

An in-depth description of bipolar resistive switching in Cu/HfOx/Pt devices, a 3D kinetic Monte Carlo simulation approach

JOURNAL OF APPLIED PHYSICS, 2018;

FI:2,176; Q2

Aldana, S; Garcia-Fernandez, P; Romero-Zaliz, R; Jimenez-Molinos, F; Gomez-Campos, F; Roldan, JB

Analysis of conductive filament density in resistive random access memories: a 3D kinetic Monte Carlo approach

JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B, 2018;

FI:1,314; Q3

Romero-Zaliz, R; Gonzalez, A; Perez, R

Incremental fuzzy learning algorithms in big data problems: a study on the size of learning subsets

2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2017;

del Val, C; Bondar, AN

Charged groups at binding interfaces of the PsbO subunit of photosystem II: A combined bioinformatics and simulation study

BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS, 2017;

FI:4,932; Q1

Purswani, J; Romero-Zaliz, RC; Martin-Platero, AM; Guisado, IM; Gonzalez-Lopez, J; Pozo, C

BSocial: Deciphering Social Behaviors within Mixed Microbial Populations

FRONTIERS IN MICROBIOLOGY, 2017;

FI:4,076; Q1

Reinoso-Gordo, JF; Ibanez, MJ; Romero-Zaliz, R

Parallelizing drainage network algorithm using free software: Octave as a solution

MATHEMATICS AND COMPUTERS IN SIMULATION, 2017;

FI:1,218; Q2

Aldana, S; Garcia-Fernandez, P; Rodriguez-Fernandez, A; Romero-Zaliz, R; Gonzalez, MB; Jimenez-Molinos, F; Campabadal, F; Gomez-Campos, F; Roldan, JB

A 3D kinetic Monte Carlo simulation study of resistive switching processes in Ni/HfO2/Si-n(+)-based RRAMs

JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2017;

FI:2,588; Q2

Romero-Zaliz, R; Reinoso, JF; Barrera, D; Ariza-Lopez, FJ

Minimizing B-spline knots in representative road axis from GPS points cloud

MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2016;

FI:1,002; Q2

Reinoso, JF; Ariza-Lopez, FJ; Barrera, D; Gomez-Blanco, A; Romero-Zaliz, R

A fitted B-spline method to derive a representative 3D axis from a set of multiple road traces

GEOCARTO INTERNATIONAL, 2016;

FI:1,38; Q2

Arnedo, J; Svrakic, DM; del Val, C; Romero-Zaliz, R; Hernandez-Cuervo, H; Fanous, AH; Pato, MT; Pato, CN; de Erausquin, GA; Cloninger, CR; Zwir, I

Uncovering the Hidden Risk Architecture of the Schizophrenias: Confirmation in Three Independent Genome-Wide Association Studies

AMERICAN JOURNAL OF PSYCHIATRY, 2015;

FI:12,295; D1

Arnedo, J; Mamah, D; Baranger, DA; Harms, MP; Barch, DM; Svrakic, DM; de Erausquin, GA; Cloninger, CR; Zwir, I

Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy

NEUROIMAGE, 2015;

FI:6,357; D1

Rubio, MA; Romero-Zaliz, R; Manoso, C; de Madrid, AP

Closing the gender gap in an introductory programming course

COMPUTERS & EDUCATION, 2015;

FI:2,556; D1

Cournia, Z; Allen, TW; Andricioaei, I; Antonny, B; Baum, D; Brannigan, G; Buchete, NV; Deckman, JT; Delemotte, L; del Val, C; Friedman, R; Gkeka, P; Hege, HC; Henin, J; Kasimova, MA; Kolocouris, A; Klein, ML; Khalid, S; Lemieux, MJ; Lindow, N; Roy, M; Selent, J; Tarek, M; Tofoleanu, F; Vanni, S; Urban, S; Wales, DJ; Smith, JC; Bondar, AN