1. Multi-omics integration in the age of million single-cell data.

2. Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine.

3. Single-cell multi-omics sequencing: application trends, COVID-19, data analysis issues and prospects.

4. Single cell transcriptomics: moving towards multi-omics.

5. Status and Potential of Single-Cell Transcriptomics for Understanding Plant Development and Functional Biology.

1. Adult mouse cortical cell taxonomy by single cell transcriptomics

2. CITE-seq: Large scale simultaneous measuremnt of epitopes and transcriptomes in single cells

3. Joint profiling of chromatin accessibility, DNA methylation and transcription in single cells

4. Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (RNAmix_CEL-seq2 )

5. Single-cell multi-omic integration compares and contrasts features of brain cell identity