About this Research Topic
The continuous development and innovation of sequencing technologies has provided transformative insights into biological research and greatly accelerated related clinical applications. Single-cell and bulk sequencing technologies have unique advantages and disadvantages. Generally, single-cell sequencing approaches allow the dissection of a multitude of single cells for a given sample with relatively high cost, while bulk sequencing protocols are more cost effective and enable researchers to profile a larger number of samples at a cell-population level. Specifically, each modality of genome, epigenome, transcriptome, and proteome mainly reflects one particular aspect of a cell or sample. Joint analysis of the data from different omics could facilitate better understanding of the molecular functions and cellular/individual phenotypes. On the other hand, as the scale and availability of sequencing datasets rapidly grow, reanalysis of publicly available single-cell and bulk sequencing data from distinct perspectives may further uncover novel and interesting findings. Additionally, integrative multi-modal analysis is still challenging; novel methods/tools are needed to efficiently and accurately integrate and process the multi-omics data.
In this Research Topic, we welcome papers related to analysis or novel computational methods of single-cell or bulk multi-omics data. The sequencing datasets can be generated or downloaded from public databases. This collection welcomes, but is not limited to, the following subtopics:
1. Joint analysis of at least two types of single-cell or bulk sequencing omics data;
2. Integrative profiling of genome, transcriptome, epigenome, and proteome with single-cell or bulk sequencing approaches;
3. Reanalysis of large-scale single-cell and/or bulk sequencing datasets from public databases;
4. Novel computational methods for multimodal and integrative single-cell or bulk sequencing data analysis.
Keywords: multi-omics, single-cell sequencing, next-generation sequencing, bioinformatics, integrative methods
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
