Additional datasets (RNASim10k) for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment
收藏DataCite Commons2023-12-13 更新2024-07-13 收录
下载链接：
https://databank.illinois.edu/datasets/IDB-4194451
下载链接
链接失效反馈官方服务：
资源简介：
This upload contains one additional set of datasets (RNASim10k, ten replicates) used in Experiment 2 of the EMMA paper (appeared in WABI 2023): Shen, Chengze, Baqiao Liu, Kelly P. Williams, and Tandy Warnow. "EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment".
The zipped file has the following structure:
10k
|__R0
|__unaln.fas
|__true.fas
|__true.tre
|__R1
...
# Alignment files:
1. `unaln.fas`: all unaligned sequences.
2. `true.fas`: the reference alignment of all sequences.
3. `true.tre`: the reference tree on all sequences.
For other datasets that uniquely appeared in EMMA, please refer to the related dataset (which is linked below): Shen, Chengze; Liu, Baqiao; Williams, Kelly P.; Warnow, Tandy (2022): Datasets for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2567453_V1
提供机构：
University of Illinois at Urbana-Champaign
创建时间：
2023-09-13
