All Stories

  1. SSNIP-seq: A simple and rapid method for isolation of single-sperm nucleic acid for high-throughput sequencing
  2. sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data
  3. A comparison of marker gene selection methods for single-cell RNA sequencing data
  4. Demuxafy: Improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods
  5. sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data
  6. splatPop: simulating population scale single-cell RNA sequencing data
  7. Key signaling networks are dysregulated in patients with the adipose tissue disorder, lipedema
  8. splatPop: simulating population scale single-cell RNA sequencing data
  9. Personalized genome structure via single gamete sequencing
  10. Optimising expression quantitative trait locus mapping workflows for single-cell studies
  11. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data
  12. Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
  13. Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes
  14. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  15. Eleven grand challenges in single-cell data science
  16. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  17. 12 Grand Challenges in Single-Cell Data Science
  18. 12 Grand Challenges in Single-Cell Data Science
  19. 12 Grand challenges in single-cell data science
  20. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  21. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  22. Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  23. Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants
  24. Visualization of Biomedical Data
  25. Combined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  26. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls
  27. f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
  28. NOX1 loss-of-function genetic variants in patients with inflammatory bowel disease
  29. Erratum: Corrigendum: Common genetic variation drives molecular heterogeneity in human iPSCs
  30. Common genetic variation drives molecular heterogeneity in human iPSCs
  31. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
  32. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
  33. A step-by-step workflow for low-level analysis of single-cell RNA-seq data
  34. The genetic architecture of type 2 diabetes
  35. Classification of low quality cells from single-cell RNA-seq data
  36. Application of whole genome and RNA sequencing to investigate the genomic landscape of common variable immunodeficiency disorders
  37. Gain-of-Function Mutations in ZIC1 Are Associated with Coronal Craniosynostosis and Learning Disability
  38. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders
  39. MOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo
  40. Erythrocytosis associated with a novel missense mutation in the BPGM gene
  41. Whole-genome sequencing of bladder cancers reveals somatic CDKN1A mutations and clinicopathological associations with mutation burden
  42. Choice of transcripts and software has a large effect on variant annotation
  43. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
  44. Homozygous mutations in a predicted endonuclease are a novel cause of congenital dyserythropoietic anemia type I
  45. Mutations in TCF12, encoding a basic helix-loop-helix partner of TWIST1, are a frequent cause of coronal craniosynostosis
  46. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
  47. Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
  48. Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design
  49. Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart
  50. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
  51. Testing significance relative to a fold-change threshold is a TREAT