All Stories

  1. deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning
  2. The N6-methyladenosine reader ECT1 regulates seed germination via gibberellic acid- and phytochrome B-mediated signaling
  3. Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding
  4. PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants
  5. Genome assembly of KA105, a new resource for maize molecular breeding and genomic research
  6. IPOP: An Integrative Plant Multi-omics Platform for Cross-species Comparison and Evolutionary Study
  7. Changes in m6A RNA methylation are associated with male sterility in wolfberry
  8. Global hypermethylation of the N6-methyladenosine RNA modification associated with apple heterografting
  9. G2P Provides an Integrative Environment for Multi-model genomic selection analysis to improve genotype-to-phenotype prediction
  10. Time-resolved multiomics analysis of the genetic regulation of maize kernel moisture
  11. easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data
  12. Genome optimization via virtual simulation to accelerate maize hybrid breeding
  13. SMART v1.0: A Database for Small Molecules with Functional Implications in Plants
  14. Evolutionary Implications of the RNA N6-Methyladenosine Methylome in Plants
  15. LightGBM: accelerated genomically designed crop breeding through ensemble learning
  16. Interactive Web-Based Annotation of Plant MicroRNAs with iwa-miRNA
  17. The genetic mechanism of heterosis utilization in maize improvement
  18. Editorial: Genomics-Enabled Crop Genetics
  19. easyMF: A Web Platform for Matrix Factorization-based Biological Discovery from Large-scale Transcriptome Data
  20. Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA
  21. deepEA: a containerized web server for interactive analysis of epitranscriptome sequencing data
  22. Exploring transcriptional switches from pairwise, temporal and population RNA-Seq data using deepTS
  23. Author Correction: Integration of metabolome and transcriptome reveals flavonoid accumulation in the intergeneric hybrid between Brassica rapa and Raphanus sativus
  24. Integration of metabolome and transcriptome reveals flavonoid accumulation in the intergeneric hybrid between Brassica rapa and Raphanus sativus
  25. Evolution of the RNA N6-Methyladenosine Methylome Mediated by Genomic Duplication
  26. Hybrid sequencing reveals insight into heat sensing and signaling of bread wheat
  27. CAFU: a Galaxy framework for exploring unmapped RNA-Seq data
  28. Large expert-curated database for benchmarking document
  29. miRLocator: A Python Implementation and Web Server for Predicting miRNAs from Pre-miRNA Sequences
  30. Corrigendum: Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning
  31. Opaque-2 Regulates a Complex Gene Network Associated with Cell Differentiation and Storage Functions of Maize Endosperm
  32. A deep convolutional neural network approach for predicting phenotypes from genotypes
  33. PEA: an integrated R toolkit for plant epitranscriptome analysis
  34. Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning
  35. Evolutionary Origin, Gradual Accumulation and Functional Divergence of Heat Shock Factor Gene Family with Plant Evolution
  36. DeepGS: Predicting phenotypes from genotypes using Deep Learning
  37. PEA: an integrated R toolkit for plant epitranscriptome analysis
  38. Evolution of intron-poor clades and expression patterns of the glycosyltransferase family 47
  39. A systems approach to a spatio-temporal understanding of the drought stress response in maize
  40. Massive expansion and differential evolution of small heat shock proteins with wheat (Triticum aestivum L.) polyploidization
  41. An Effective Strategy for Trait Combinations in Multiple-Trait Genomic Selection
  42. A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function
  43. Transcriptome Dynamics during Maize Endosperm Development
  44. Coexpression Network Analysis of Benign and Malignant Phenotypes of SIV-Infected Sooty Mangabey and Rhesus Macaque
  45. Application of Machine Learning-Based Classification to Genomic Selection and Performance Improvement
  46. miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences
  47. A Census of Nuclear Cyanobacterial Recruits in the Plant Kingdom
  48. RNA Sequencing of Laser-Capture Microdissected Compartments of the Maize Kernel Identifies Regulatory Modules Associated with Endosperm Cell Differentiation
  49. DNA sequence and structure properties analysis reveals similarities and differences to promoters of stress responsive genes in Arabidopsis thaliana
  50. Machine learning for Big Data analytics in plants
  51. Relative importance of various regeneration mechanisms in different restoration stages of Quercus variabilis forest after selective logging
  52. Dynamic parent-of-origin effects on small interfering RNA expression in the developing maize endosperm
  53. Machine Learning–Based Differential Network Analysis: A Study of Stress-Responsive Transcriptomes in Arabidopsis
  54. Effects of drought stress on growth, physiological and biochemical parameters in fine roots of Quercus variabilis Bl. seedlings
  55. Fine root architecture, morphology, and biomass response to cutting in a Chinese cork oak (Quercus variabilis Blume) forest
  56. A novel two-layer SVM model in miRNA Drosha processing site detection
  57. Dynamic Expression of Imprinted Genes Associates with Maternally Controlled Nutrient Allocation during Maize Endosperm Development
  58. Changes in morphological, physiological, and biochemical responses to different levels of drought stress in chinese cork oak (Quercus variabilis Bl.) seedlings
  59. Using Amino Acid Factor Scores to Predict Avian-to-Human Transmission of Avian Influenza Viruses: A Machine Learning Study
  60. Effects of stump diameter, stump height, and cutting season onQuercus variabilisstump sprouting
  61. Predicting transmission of avian influenza A viruses from avian to human by using informative physicochemical properties
  62. The Reference Genome of the Halophytic Plant Eutrema salsugineum
  63. Effect of aboveground intervention on fine root mass, production, and turnover rate in a Chinese cork oak (Quercus variabilis Blume) forest
  64. KGBassembler: a karyotype-based genome assembler for Brassicaceae species
  65. Recognizing drosha processing sites by a two-step prediction model with structure and sequence information
  66. Application of the Gini Correlation Coefficient to Infer Regulatory Relationships in Transcriptome Analysis
  67. GPS-MBA: Computational Analysis of MHC Class II Epitopes in Type 1 Diabetes
  68. Accurately Predicting Transcription Start Sites Using Logitlinear Model and Local Oligonucleotide Frequencies
  69. Sequence similarity analysis of non-self CTL epitopes and mouse proteins using sequence alignment
  70. Inequalities and Duality in Gene Coexpression Networks of HIV-1 Infection Revealed by the Combination of the Double-Connectivity Approach and the Gini's Method
  71. Identification of true EST alignments for recognising transcribed regions
  72. Accurate Prediction of Alternatively Spliced Cassette Exons Using Evolutionary Conservation Information and Logitlinear Model
  73. Position-specific residue preference features around the ends of helices and strands and a novel strategy for the prediction of secondary structures
  74. Feature Mining and Integration for Improving the Prediction Accuracy of Translation Initiation Sites in Eukaryotic mRNAs