five

ExoShorkie: Predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/ExoShorkie_Predicting_RNA-seq_coverage_of_exogenous_genomes_in_yeast_by_transfer_learning/31075375
下载链接
链接失效反馈
官方服务:
资源简介:
All datasets used in the study “ExoShorkie: Predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning” are publicly available. These include six primary exogenous genome RNA-seq datasets used for model training and evaluation, as well as a yeast genomic RNA-seq dataset. For each study, we provide a FASTA reference file for the corresponding exogenous genome together with uniformly processed RNA-seq coverage data generated using our standardized preprocessing pipeline. The original datasets were obtained from the following studies: The RNA helicases Dbp2 and Mtr4 regulate the expression of Xrn1-sensitive long non-coding RNAs in yeast (Yeast genomic RNA-seq) Regulatory activity is the default DNA state in eukaryotes (Human chromosome 7) Synthetic reversed sequences reveal default genomic states (HPRT1 and HPRT1R) Sequence-dependent activity and compartmentalization of foreign DNA in a eukaryotic nucleus (M. pneumoniae and M. mycoides) Exogenous artificial DNA forms chromatin structure with active transcription in yeast (Data-storage chromosome)
创建时间:
2026-01-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作