All Stories

  1. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  2. Eleven grand challenges in single-cell data science
  3. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  4. 12 Grand Challenges in Single-Cell Data Science
  5. 12 Grand Challenges in Single-Cell Data Science
  6. 12 Grand challenges in single-cell data science
  7. Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression
  8. Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
  9. Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  10. Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants
  11. Visualization of Biomedical Data
  12. Combined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity
  13. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls
  14. f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq
  15. NOX1 loss-of-function genetic variants in patients with inflammatory bowel disease
  16. Erratum: Corrigendum: Common genetic variation drives molecular heterogeneity in human iPSCs
  17. Common genetic variation drives molecular heterogeneity in human iPSCs
  18. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
  19. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor
  20. A step-by-step workflow for low-level analysis of single-cell RNA-seq data
  21. The genetic architecture of type 2 diabetes
  22. Classification of low quality cells from single-cell RNA-seq data
  23. Application of whole genome and RNA sequencing to investigate the genomic landscape of common variable immunodeficiency disorders
  24. Gain-of-Function Mutations in ZIC1 Are Associated with Coronal Craniosynostosis and Learning Disability
  25. Factors influencing success of clinical genome sequencing across a broad spectrum of disorders
  26. MOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo
  27. Erythrocytosis associated with a novel missense mutation in the BPGM gene
  28. Whole-genome sequencing of bladder cancers reveals somatic CDKN1A mutations and clinicopathological associations with mutation burden
  29. Choice of transcripts and software has a large effect on variant annotation
  30. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
  31. Homozygous mutations in a predicted endonuclease are a novel cause of congenital dyserythropoietic anemia type I
  32. Mutations in TCF12, encoding a basic helix-loop-helix partner of TWIST1, are a frequent cause of coronal craniosynostosis
  33. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
  34. Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
  35. Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design
  36. Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart
  37. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
  38. Testing significance relative to a fold-change threshold is a TREAT