Resources
Tissue heterogeneity and clonal evolution
- Single Cell
- : sample size estimation to powerfully detect cell abundance changes in a case-control study using single-cell assays
- Single-Cell Multiomics Analysis
- : integrating datasets obtained from different technologies including scRNA-seq, scATAC-seq, spatial omics and CyTOF
- : SNV detection/imputation from scRNA-seq, snATAC-seq data.
- : selecting most informative features/genes/proteins in a single-cell dataset.
- Single-Cell Pathway Analysis: : probe the coordinated expression of a geneset in a single cell-population
- Single-Cell DNA Analysis
- : Variant detection from single-cell DNA sequencing data
- Single cell lineage inference
- , phylogenetic tree from somatic mutations detected in single cell DNA
- , phylogenetic tree from somatic copy number alterations detected in single cell DNA
- Single-Cell RNA Analysis
- Cell-type/signature characterization
- , cell-type specific marker
- Developmental/temporal inference
- , latent periodic process (e.g., cell cycle, EMT, circadian rhythm) inference
- Cell-type/signature characterization
- Single-Cell Proteomics
- : reduce spillover noise in CyTOF data
- Tissue deconvolution
- , joint autologous bulk tumor DNA/RNA-seq allelic expression profiling, designated as a tool
Human Genomics
- Genomic Structural Variation
- Identification of structural variants from the next generation sequencing (NGS) data
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- Identification of structural variants from the single molecule (PacBio) sequencing data
- Detection of somatic single nucleotide variants and small indels in NGS cancer genomes
- Detection of somatic SNVs and Indels from PCR targeted Sanger sequencing data
- Identification of structural variants from the next generation sequencing (NGS) data
Transcriptomics
- Detection of gene fusions from paired end whole-transcriptome RNA-seq data
- Integrative fusion/genomic breakpoint identification from DNA and RNA sequencing data
Functional Genomics
- Cancer driver mutation annotation
- Multi-level Variant annotation
- , , forward/reverse genomic/transcriptome/proteome
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