Comprehensive Integration of Single-Cell Data
نویسندگان
چکیده
منابع مشابه
A Graph-Based Clustering Approach to Identify Cell Populations in Single-Cell RNA Sequencing Data
Introduction: The emergence of single-cell RNA-sequencing (scRNA-seq) technology has provided new information about the structure of cells, and provided data with very high resolution of the expression of different genes for each cell at a single time. One of the main uses of scRNA-seq is data clustering based on expressed genes, which sometimes leads to the detection of rare cell populations. ...
متن کاملA Graph-Based Clustering Approach to Identify Cell Populations in Single-Cell RNA Sequencing Data
Introduction: The emergence of single-cell RNA-sequencing (scRNA-seq) technology has provided new information about the structure of cells, and provided data with very high resolution of the expression of different genes for each cell at a single time. One of the main uses of scRNA-seq is data clustering based on expressed genes, which sometimes leads to the detection of rare cell populations. ...
متن کاملGenomic and proteomic data integration for comprehensive biodata search
Motivation and Objectives With high-throughput technologies in the life sciences, particularly in molecular biology, the amount of data available has grown exponentially. Yet, such data are stored in several different formats and spread into numerous databanks (Galperin and Fernández-Suárez, 2012). This scenario makes even more difficult to find and retrieve the data required to answer the scie...
متن کاملA comprehensive semantic framework for data integration systems
A data integration system provides the user with a unified view, called global schema, of the data residing at different sources. Users issue their queries against the global schema, and the system computes answers to queries by suitably accessing the sources, through the mapping, i.e., the specification of the relationship between the global schema and the sources. Since sources are in general...
متن کاملComprehensive single-cell transcriptional profiling of a multicellular organism.
To resolve cellular heterogeneity, we developed a combinatorial indexing strategy to profile the transcriptomes of single cells or nuclei, termed sci-RNA-seq (single-cell combinatorial indexing RNA sequencing). We applied sci-RNA-seq to profile nearly 50,000 cells from the nematode Caenorhabditis elegans at the L2 larval stage, which provided >50-fold "shotgun" cellular coverage of its somatic ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cell
سال: 2019
ISSN: 0092-8674
DOI: 10.1016/j.cell.2019.05.031