All Stories

  1. Simplifications and approximations in a single-gene circuit modeling
  2. Transcriptomic landscape of the interaction between the entomopathogenic fungus Beauveria bassiana and its tolerant host Tribolium castaneum revealed by dual RNA-seq
  3. Dicodon-based measures for modeling gene expression
  4. Analysis of the Interactome of the Toxoplasma gondii Tgj1 HSP40 Chaperone
  5. Distal nucleotides affect the rate of stop codon read‐through
  6. Editorial: Pattern formation in biology
  7. Cell annotation using scRNA-seq data: A protein-protein interaction network approach
  8. Pattern formation in biology
  9. COVID-19 Mortality and the Cytokine Storm: An Added Value for APOE Genotyping
  10. Transient Turing patterns in a morphogenetic model
  11. Single cell gene expression profiling of nasal ciliated cells reveals distinctive biological processes related to epigenetic mechanisms in patients with severe COVID-19
  12. In-depth comparative analysis of Tritrichomonas foetus transcriptomics reveals novel genes linked with adaptation to feline host
  13. ORIGINS: A protein network-based approach to quantify cell pluripotency from scRNA-seq data
  14. Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
  15. The covid19 pathogenesis in a nutshell.
  16. Synonymous variants in holoprosencephaly alter codon usage and impact the Sonic Hedgehog protein
  17. Alternating regimes of motion in a model with cell-cell interactions
  18. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  19. A new analogue of islet neogenesis associated protein with higher structural and plasma stability
  20. Mesorhizobium intechi sp. nov. isolated from nodules of Lotus tenuis in soils of the Flooding Pampa, Argentina
  21. Prediction of cell position using single-cell transcriptomic data: an iterative procedure
  22. Editorial: Emergent Effects of Noise in Biology: From Gene Expression to Cell Motility
  23. By means of a system biology approach we predicted new pathogenic factor in T. gondii
  24. Some interesting results from in-silico cells with active movement
  25. Phylogenomics of tomato chloroplasts using assembly and alignment-free method
  26. Information propagation in a noisy gene cascade
  27. Hhuman genetic diseases linked to synonymous single nucleotide polymorphisms
  28. Differential bicodon usage in lowly and highly abundant proteins
  29. Modeling the flux of metabolites in the juvenile hormone biosynthesis pathway using generalized additive models and ordinary differential equations
  30. Commentary: Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  31. Translational rate is modulated by pairs of consecutive codons.
  32. Allatostatin-C antagonizes the synergistic myostimulatory effect of allatotropin and serotonin in Rhodnius prolixus (Stal)
  33. Promoters Architecture-Based Mechanism for Noise-Induced Oscillations in a Single-Gene Circuit
  34. Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
  35. Mesoscopic oscillations in a single-gene circuit without delay
  36. Cooperative binding: a multiple personality
  37. Systems Biology Approach to Model the Life Cycle ofTrypanosoma cruzi
  38. Genomic and functional characterization of a methoprene-tolerant gene in the kissing-bug Rhodnius prolixus
  39. Allatotropin Modulates Myostimulatory and Cardioacceleratory Activities in Rhodnius prolixus (Stal).
  40. Diambra
  41. Abortive and Propagating Intracellular Calcium Waves: Analysis from a Hybrid Model
  42. Genetically Encoded Sender–Receiver System in 3D Mammalian Cell Culture
  43. An Insight into the Transcriptome of the Digestive Tract of the Bloodsucking Bug, Rhodnius prolixus
  44. Noise Minimisation in Gene Expression Switches
  45. Allatotropin: An Ancestral Myotropic Neuropeptide Involved in Feeding
  46. First Comparative Transcriptomic Analysis of Wild Adult Male and Female Lutzomyia longipalpis, Vector of Visceral Leishmaniasis
  47. Cooperative Binding of Transcription Factors Promotes Bimodal Gene Expression Response
  48. Modeling the Emergence of Circadian Rhythms in a Clock Neuron Network
  49. Time-Course Analysis of Cyanobacterium Transcriptome: Detecting Oscillatory Genes
  50. Metagenomic Analysis of Taxa Associated with Lutzomyia longipalpis, Vector of Visceral Leishmaniasis, Using an Unbiased High-Throughput Approach
  51. Genome sequence and analysis of the tuber crop potato
  52. Coarse-grain reconstruction of genetic networks from expression levels
  53. Inositol (1,4,5)-Trisphosphate Receptor Microarchitecture Shapes Ca2+ Puff Kinetics
  54. Convergence Criterium of Numerical Chaotic Solutions Based on Statistical Measures
  55. Neuropeptide precursor gene discovery in the Chagas disease vector Rhodnius prolixus
  56. Long-term oscillations in the sleep/wake cycle of infants
  57. Localization and socialization: Experimental insights into the functional architecture of IP3 receptors
  58. Role of cooperative binding on noise expression
  59. Clustering gene expression by dynamics: A maximum entropy approach
  60. Respiratory modulation of heart beat-to-beat interval in diabetic patients
  61. Constructing the Average Natural History of HIV-1 Infection
  62. Peri-ictal complexity loss as determined by approximate entropy analysis in the electrocorticogram obtained from chronic subdural recordings in patients with refractory temporal lobe epilepsy
  63. Delay model of circadian gene expression with two negative feedback loops
  64. Cell adhesion protein decreases cell motion: Statistical characterization of locomotion activity
  65. Pattern formation in a gene network model with boundary shape dependence
  66. Cross-correlation of heartbeat and respiration rhythms
  67. Model for the respiratory modulation of the heart beat-to-beat time interval series
  68. Complex networks approach to gene expression driven phenotype imaging
  69. Modeling stochastic Ca2+ release from a cluster of IP3-sensitive receptors
  70. Topographical maps as complex networks
  71. Infradian Rhythmicity in Sleep/Wake Ratio in Developing Infants
  72. Model for the heart beat-to-beat time series during meditation
  73. Detecting Epileptic Spikes
  74. Chaos in two-loop negative feedback systems
  75. CICLOGRAMA: A TOOL FOR DETECTION OF RHYTHMICITIES IN SLEEP/WAKE CYCLES
  76. Nonlinear structures in electroencephalogram signals
  77. Information theory approach to learning of the perceptron rule
  78. Divergence measure between chaotic attractors
  79. Maximum entropy approach to nonlinear modeling
  80. Epileptic activity recognition in EEG recording
  81. The evolutive role of symbiosis and the external environment: a mathematical model
  82. Human brain dynamics: the analysis of EEG signals with Tsallis information measure
  83. Nonlinear models for detecting epileptic spikes
  84. Two approximations to learning from examples
  85. Tsallis entropy and cortical dynamics: the analysis of EEG signals
  86. Dynamics of coevolutive processes
  87. Neural networks that learn how to detect epileptic spikes
  88. Modelling time series using information theory
  89. Neural network training without spurious minima
  90. Perturbative treatments and learning techniques
  91. Maximum-entropy principle and neural networks that learn to construct approximate wave functions
  92. Self-organized criticality in coevolving interacting systems
  93. Maximum entropy, pseudoinverse techniques, and time series predictions with layered networks
  94. Pseudoinverse techniques, information theory, and the training of feedforward networks
  95. Approximate reconstruction of single particle bound states and potentials from incomplete information