MP10-Bioinformática Traslacional
Medicina de Precisión / IBS-MP10
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.
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
miRNAs as radio-response biomarkers for breast cancer stem cells
MOLECULAR ONCOLOGY, 2020;
FI:6,574; Q1
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
Diversity and sequence motifs of the bacterial SecA protein motor
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 2020;
FI:3,411; Q2
Fourier-Based Automatic Transformation between Mapping Shapes-Cadastral and Land Registry Applications
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020;
FI:2,239; Q3
An Updated Review on Watershed Algorithms
SOFT COMPUTING FOR SUSTAINABILITY SCIENCE, 2018;
Multivariate analysis and extraction of parameters in resistive RAMs using the Quantum Point Contact model
JOURNAL OF APPLIED PHYSICS, 2018;
FI:2,176; Q2
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
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
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;
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
BSocial: Deciphering Social Behaviors within Mixed Microbial Populations
FRONTIERS IN MICROBIOLOGY, 2017;
FI:4,076; Q1
Parallelizing drainage network algorithm using free software: Octave as a solution
MATHEMATICS AND COMPUTERS IN SIMULATION, 2017;
FI:1,218; Q2
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
Minimizing B-spline knots in representative road axis from GPS points cloud
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2016;
FI:1,002; Q2
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
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
Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy
NEUROIMAGE, 2015;
FI:6,357; D1
Closing the gender gap in an introductory programming course
COMPUTERS & EDUCATION, 2015;
FI:2,556; D1
Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory
JOURNAL OF MEMBRANE BIOLOGY, 2015;
FI:2,457; Q2
High throughput sequencing analysis of Trypanosoma brucei DRBD3/PTB1-bound mRNAs
MOLECULAR AND BIOCHEMICAL PARASITOLOGY, 2015;
FI:1,787; Q2
