Gosai et al. (2024) Evaluator Container for Genomic API for Model Evaluation (GAME)

Evaluator container for Gosai et al. 2024 MPRA sequences. A total of 776,474 sequences (200bp) were measured in 3 human cell lines. Gosai, S.J., Castro, R.I., Fuentes, N. et al. Machine-guided design of cell-type-targeting cis-regulatory elements. Nature 634, 1211–1220 (2024). https://doi.org/10.1038/s41586-024-08070-z gosai_evaluator.sif contains all dependencies and scripts required for the Evaluator container to read in the raw MPRA data, parse into the correct API format, and connect with any Predictor container via TCP sockets. Additional information can be found here: https://github.com/de-Boer-Lab/Genomic-Model-Evaluation-API本数据集为Gosai等人2024年的大规模平行报告分析（Massively Parallel Reporter Assay，MPRA）序列提供评估器容器。共计对776474条长度为200碱基对（base pair，bp）的序列在3种人类细胞系中完成了检测。 Gosai, S.J.、Castro, R.I.、Fuentes, N. 等. 靶向细胞类型的顺式调控元件的机器学习引导设计. 《自然》, 634卷, 1211–1220页 (2024). https://doi.org/10.1038/s41586-024-08070-z `gosai_evaluator.sif`包含该评估器容器所需的全部依赖项与脚本，可实现原始MPRA数据的读取、规范API格式的转换，以及通过TCP套接字与任意预测器容器建立连接。 更多相关信息可访问以下链接：https://github.com/de-Boer-Lab/Genomic-Model-Evaluation-API