Seven ROSE datasets in high and low fragmentation conditions
Dataset Description |
This is a general description of the datasets included in this upload; details of each dataset can be found in the individual README.txt in each compressed folder. We have:
HF (high fragmentary): 50% of the sequences are made fragmentary, which have average lengths of 25% of the original lengths with a standard deviation of 60 bp.
The seven ROSE datasets made fragmentary are: 1000L1, 1000L3, 1000L4, 1000M3, 1000S1, 1000S2 and 1000S4.
|
Subject |
Life Sciences |
Keywords |
ROSE; simulation; fragmentary |
License |
CC0 |
Funder |
U.S. National Science Foundation (NSF)-Grant:1458652 |
Corresponding Creator |
Chengze Shen |
Downloaded |
541 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-6128941_V1 | 2021-11-19 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1089/cmb.2021.0585", "uri"=>"10.1089/cmb.2021.0585", "uri_type"=>"DOI", "citation"=>"Shen, Chengze, Minhyuk Park, and Tandy Warnow. 2022. “WITCH: Improved Multiple Sequence Alignment Through Weighted Consensus Hidden Markov Model Alignment.” Journal of Computational Biology : A Journal of Computational Molecular Cell Biology, May. doi:10.1089/cmb.2021.0585.", "dataset_id"=>2118, "selected_type"=>"Article", "datacite_list"=>"IsCitedBy"} | 2022-05-23T16:25:57Z |
| Dataset | update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Life Sciences"]} | 2022-02-09T17:55:37Z |