Regeneration Roadmap
Other names: regeneration_roadmap
Regeneration Roadmap aims to compile large datasets for gene expression and regulation created by a broad spectrum of high-throughput omics technologies. This one-stop service provides user-friendly functionalities to explore annotated regeneration-related changes in gene expression, as well as raw data downloads from these multi-omics studies. The current implementation includes five modules: Regeneration-related genes, Transcriptomics, Single-cell Transcriptomics, Epigenomics and Pharmacogenomics.
Description
More detailed information about this field from each metasource.
Regeneration Roadmap aims to compile large datasets for gene expression and regulation created by a broad spectrum of high-throughput omics technologies. This one-stop service provides user-friendly functionalities to explore annotated regeneration-related changes in gene expression, as well as raw data downloads from these multi-omics studies. The current implementation includes five modules: Regeneration-related genes, Transcriptomics, Single-cell Transcriptomics, Epigenomics and Pharmacogenomics.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
Webpage:
https://ngdc.cncb.ac.cn/regeneration/indexWebpage
More detailed information about this field from each metasource.
https://ngdc.cncb.ac.cn/regeneration/index
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
Publications:
Publications
More detailed information about this field from each metasource.
Regeneration Roadmap: database resources for regenerative biology
PMID: 34591960
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
Publications
More detailed information about this field from each metasource.
Regeneration Roadmap: database resources for regenerative biology
PMID: 34591960
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
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Regeneration Roadmap: database resources for regenerative biology
PubMed citations: 3.
3 articles citing: Regeneration Roadmap: database resources for regenerative biology
Rejuvenation of Tissue Stem Cells by Intrinsic and Extrinsic Factors. PMID:35303745
Cross-species metabolomic analysis identifies uridine as a potent regeneration promoting factor. PMID:35102134
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. PMID:34718731
Tags:
Tags
More detailed information about this field from each metasource.
epigenomics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
pharmacogenomics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
transcriptomics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
rna-seq
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
transcription factors and regulatory sites
metasource: bio.tools
version: extracted_at: 2022-11-04T11:24:44.202381
Tags
More detailed information about this field from each metasource.
epigenomics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
pharmacogenomics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
transcriptomics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
rna-seq
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
transcription factors and regulatory sites
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:24:44.202381
epigenomics pharmacogenomics transcriptomics rna sequence transcription factors and regulatory sites
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