官方服务：
资源简介：
The dataset used in the 3UTRBERT.
应用场景：
创建时间：
2023-05-16
相关数据集
LegumeGRN: A Gene Regulatory Network Prediction Server for Functional and Comparative Studies
Building accurate gene regulatory networks (GRNs) from high-throughput gene expression data is a long-standing challenge. However, with the emergence of new algorithms combined with the increase of tr
NIAID Data Ecosystem60
Additional file 6 of MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites
Additional file 6: Table S5. The mean of average SNS effects for all DNA sequence patterns that share the same length as the reported TF binding motifs were calculated.
Figshare2024-08-14 更新40
Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization
Despite large experimental and computational efforts aiming to dissect the mechanisms underlying disease risk, mapping cis-regulatory elements to target genes remains a challenge. Here, we introduce a
NIAID Data Ecosystem30
Integrated Genome-Scale Prediction of Detrimental Mutations in Transcription Networks
A central challenge in genetics is to understand when and why mutations alter the phenotype of an organism. The consequences of gene inhibition have been systematically studied and can be predicted re
NIAID Data Ecosystem50
Enformer Predicted Tracks for Fine-mapped Variants
This large compressed object contains eight numpy files reporting 5,313 Enformer predicted tracks for about 22,000 cis fine-mapped variants on GEUVADIS gene expression phenotypes (https://www.nature.c
Figshare2023-02-07 更新30
