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scSNV-seq技术揭示了癌症和阿尔茨海默病等疾病的遗传驱动因素
https://www.ebiotrade.com/newsf/2024-3/20240305065256270.htm
http://www.pubmedplus.cn/P/SearchQuickResult?wd=2b34f31a-b2bd-4c40-a07c-af5cc3e6e190
01. | Humans | 65 篇 | 64.356% |
02. | High-Throughput Nucleotide Sequencing | 64 篇 | 63.366% |
03. | Single-Cell Analysis | 59 篇 | 58.416% |
04. | Transcriptome | 48 篇 | 47.525% |
05. | Gene Expression Profiling | 47 篇 | 46.535% |
06. | Sequence Analysis, RNA | 38 篇 | 37.624% |
07. | RNA, Guide, CRISPR-Cas Systems | 31 篇 | 30.693% |
08. | CRISPR-Cas Systems | 30 篇 | 29.703% |
09. | Animals | 24 篇 | 23.762% |
10. | Clustered Regularly Interspaced Short Palindromic Repeats | 22 篇 | 21.782% |
Cellular and Gene Editing Research, Wellcome Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK.
ab42@sanger.ac.uk
Genome Biol (P 1474-760X E 1474-7596) H指数:207 2024 年 25 卷 1 期 20 页
PMID:38225637 相似文献
文摘 DOI链接 BioMed CentralPubMed CentralEurope PubMed Central
原文
https://pubmed.ncbi.nlm.nih.gov/38225637/
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