China Oncology ›› 2022, Vol. 32 ›› Issue (7): 635-642.doi: 10.19401/j.cnki.1007-3639.2022.07.007
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LIU Qiang()(), FANG Yi, WANG Jing()()
Received:
2021-12-01
Online:
2022-07-30
Published:
2022-08-09
Contact:
WANG Jing
E-mail:liuqaing@email.ncu.edu.cn;wangjing@cicams.ac.cn
CLC Number:
LIU Qiang, FANG Yi, WANG Jing. Application progress of single-cell sequencing technology in breast cancer research[J]. China Oncology, 2022, 32(7): 635-642.
Tab. 1
scRNA-seq database resources"
Database | Institution and website | Database feature | Reference |
---|---|---|---|
GEO | NCBI: | A public functional genomics data repository supporting MIAME-compliant data submissions. | [ |
Single Cell Expression Atlas | EMBL-EBI: | It sources and compiles data on the abundance and localisation of RNA and proteins in various biological systems and contexts and provides open access to this data for the research community. | [ |
Single Cell Portal | The Broad Institute of MIT and Harvard: | A cloud-based, scalable web application that is organized by studies with downloadable raw data, aiming to accelerate reproducible single-cell research through | No |
The Human Cell Atlas | Broad Institute: | The HCA Data Portal stores and provides single-cell data contributed by labs around the world. Anyone can contribute data, find data, or access community tools and applications. | [ |
PanglaoDB | Karolinska Institutet: | A database for the scientific community interested in exploration of single cell RNA sequencing experiments from mouse and human. | [ |
scRNASeqDB | The University of Texas Health Science Center: | A freely accessible online resource which incorporates 36 human single cell transcriptome data sets (174 cell groups and 8910 single cells) analyzed by scRNA-seq is provided | [ |
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