All Stories

  1. SpatialRNA: a Python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset
  2. Denoising image-based spatial transcriptomics data with DenoIST
  3. simPIC:flexible simulation of paired-insertion counts for single-cell ATAC sequencing data
  4. Flexible and efficient count-distribution and mixed-model methods for eQTL mapping with quasar
  5. Bayesian inference for copy number intra-tumoral heterogeneity from single-cell RNA-sequencing data
  6. Orchestrating multi-state QTL analysis with Bioconductor
  7. SpatialRNA: a python package for easy application of Graph Neural Network models on single-molecule spatial transcriptomics dataset
  8. Spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis
  9. A high-resolution meiotic crossover map from single-nucleus ATAC-seq reveals insights into the recombination landscape in mammalian sperm
  10. Going beyond cell clustering and feature aggregation: Is there single cell level information in single-cell ATAC-seq data?
  11. Profiling genetically driven alternative splicing across the Indonesian archipelago
  12. Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer
  13. BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations
  14. Profiling genetically driven alternative splicing across the Indonesian Archipelago
  15. De novo transcriptome assembly and genome annotation of the fat-tailed dunnart (Sminthopsis crassicaudata)
  16. Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
  17. Cell-type-specific and disease-associated expression quantitative trait loci in the human lung
  18. MAssively-Parallel Flow cytometry Xplorer (MAPFX): A Toolbox for Analysing Data from the Massively-Parallel Cytometry Experiments
  19. A comparison of marker gene selection methods for single-cell RNA sequencing data
  20. An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning
  21. Fancm has dual roles in the limiting of meiotic crossovers and germ cell maintenance in mammals
  22. ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets
  23. Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics
  24. SSNIP-seq: A simple and rapid method for isolation of single-sperm nucleic acid for high-throughput sequencing
  25. sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data
  26. Proliferation drives quorum sensing of microbial products in human macrophage populations
  27. A comparison of marker gene selection methods for single-cell RNA sequencing data
  28. Demuxafy: Improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
  29. sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data
  30. splatPop: simulating population scale single-cell RNA sequencing data
  31. Key signaling networks are dysregulated in patients with the adipose tissue disorder, lipedema
  32. splatPop: simulating population scale single-cell RNA sequencing data
  33. Personalized genome structure via single gamete sequencing
  34. Optimising expression quantitative trait locus mapping workflows for single-cell studies
  35. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
  36. Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
  37. Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes
  38. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  39. Eleven grand challenges in single-cell data science
  40. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  41. 12 Grand Challenges in Single-Cell Data Science
  42. 12 Grand Challenges in Single-Cell Data Science
  43. 12 Grand challenges in single-cell data science
  44. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  45. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  46. Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  47. Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants
  48. Visualization of Biomedical Data
  49. Combined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  50. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls
  51. f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
  52. NOX1 loss-of-function genetic variants in patients with inflammatory bowel disease
  53. Erratum: Corrigendum: Common genetic variation drives molecular heterogeneity in human iPSCs
  54. Common genetic variation drives molecular heterogeneity in human iPSCs
  55. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
  56. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
  57. A step-by-step workflow for low-level analysis of single-cell RNA-seq data
  58. The genetic architecture of type 2 diabetes
  59. Classification of low quality cells from single-cell RNA-seq data
  60. Application of whole genome and RNA sequencing to investigate the genomic landscape of common variable immunodeficiency disorders
  61. Gain-of-Function Mutations in ZIC1 Are Associated with Coronal Craniosynostosis and Learning Disability
  62. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders
  63. MOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo
  64. Erythrocytosis associated with a novel missense mutation in the BPGM gene
  65. Whole-genome sequencing of bladder cancers reveals somatic CDKN1A mutations and clinicopathological associations with mutation burden
  66. Choice of transcripts and software has a large effect on variant annotation
  67. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
  68. Homozygous mutations in a predicted endonuclease are a novel cause of congenital dyserythropoietic anemia type I
  69. Mutations in TCF12, encoding a basic helix-loop-helix partner of TWIST1, are a frequent cause of coronal craniosynostosis
  70. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
  71. Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
  72. Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design
  73. Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart
  74. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
  75. Testing significance relative to a fold-change threshold is a TREAT