{"day":"07","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"7181"}]},"date_updated":"2025-07-10T11:54:19Z","department":[{"_id":"FyKo"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.3271452"}],"oa_version":"Published Version","abstract":[{"lang":"eng","text":"This dataset contains a GitHub repository containing all the data, analysis, Nextflow workflows and Jupyter notebooks to replicate the manuscript titled \"Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method\".\r\nIt also contains the Multiple Sequence Alignments (MSAs) generated and well as the main figures and tables from the manuscript.\r\nThe repository is also available at GitHub (https://github.com/cbcrg/dpa-analysis) release `v1.2`.\r\nFor details on how to use the regressive alignment algorithm, see the T-Coffee software suite (https://github.com/cbcrg/tcoffee)."}],"title":"Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method","_id":"13059","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"doi":"10.5281/ZENODO.2025846","type":"research_data_reference","publisher":"Zenodo","ddc":["570"],"year":"2018","month":"12","license":"https://creativecommons.org/licenses/by/4.0/","author":[{"full_name":"Garriga, Edgar","last_name":"Garriga","first_name":"Edgar"},{"first_name":"Paolo","last_name":"di Tommaso","full_name":"di Tommaso, Paolo"},{"last_name":"Magis","first_name":"Cedrik","full_name":"Magis, Cedrik"},{"full_name":"Erb, Ionas","last_name":"Erb","first_name":"Ionas"},{"last_name":"Mansouri","first_name":"Leila","full_name":"Mansouri, Leila"},{"full_name":"Baltzis, Athanasios","first_name":"Athanasios","last_name":"Baltzis"},{"last_name":"Laayouni","first_name":"Hafid","full_name":"Laayouni, Hafid"},{"full_name":"Kondrashov, Fyodor","orcid":"0000-0001-8243-4694","first_name":"Fyodor","id":"44FDEF62-F248-11E8-B48F-1D18A9856A87","last_name":"Kondrashov"},{"first_name":"Evan","last_name":"Floden","full_name":"Floden, Evan"},{"full_name":"Notredame, Cedric","first_name":"Cedric","last_name":"Notredame"}],"status":"public","date_published":"2018-12-07T00:00:00Z","article_processing_charge":"No","citation":{"ama":"Garriga E, di Tommaso P, Magis C, et al. Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method. 2018. doi:<a href=\"https://doi.org/10.5281/ZENODO.2025846\">10.5281/ZENODO.2025846</a>","apa":"Garriga, E., di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A., … Notredame, C. (2018). Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.2025846\">https://doi.org/10.5281/ZENODO.2025846</a>","chicago":"Garriga, Edgar, Paolo di Tommaso, Cedrik Magis, Ionas Erb, Leila Mansouri, Athanasios Baltzis, Hafid Laayouni, Fyodor Kondrashov, Evan Floden, and Cedric Notredame. “Fast and Accurate Large Multiple Sequence Alignments with a Root-to-Leaf Regressive Method.” Zenodo, 2018. <a href=\"https://doi.org/10.5281/ZENODO.2025846\">https://doi.org/10.5281/ZENODO.2025846</a>.","ista":"Garriga E, di Tommaso P, Magis C, Erb I, Mansouri L, Baltzis A, Laayouni H, Kondrashov F, Floden E, Notredame C. 2018. Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.2025846\">10.5281/ZENODO.2025846</a>.","short":"E. Garriga, P. di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H. Laayouni, F. Kondrashov, E. Floden, C. Notredame, (2018).","ieee":"E. Garriga <i>et al.</i>, “Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method.” Zenodo, 2018.","mla":"Garriga, Edgar, et al. <i>Fast and Accurate Large Multiple Sequence Alignments with a Root-to-Leaf Regressive Method</i>. Zenodo, 2018, doi:<a href=\"https://doi.org/10.5281/ZENODO.2025846\">10.5281/ZENODO.2025846</a>."},"oa":1,"date_created":"2023-05-23T16:08:20Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"}