{"title":"Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method","article_processing_charge":"No","author":[{"last_name":"Garriga","first_name":"Edgar","full_name":"Garriga, Edgar"},{"full_name":"di Tommaso, Paolo","first_name":"Paolo","last_name":"di Tommaso"},{"last_name":"Magis","first_name":"Cedrik","full_name":"Magis, Cedrik"},{"last_name":"Erb","full_name":"Erb, Ionas","first_name":"Ionas"},{"full_name":"Mansouri, Leila","first_name":"Leila","last_name":"Mansouri"},{"last_name":"Baltzis","full_name":"Baltzis, Athanasios","first_name":"Athanasios"},{"last_name":"Laayouni","first_name":"Hafid","full_name":"Laayouni, Hafid"},{"orcid":"0000-0001-8243-4694","id":"44FDEF62-F248-11E8-B48F-1D18A9856A87","last_name":"Kondrashov","full_name":"Kondrashov, Fyodor","first_name":"Fyodor"},{"last_name":"Floden","first_name":"Evan","full_name":"Floden, Evan"},{"first_name":"Cedric","full_name":"Notredame, Cedric","last_name":"Notredame"}],"abstract":[{"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).","lang":"eng"}],"related_material":{"record":[{"id":"7181","status":"public","relation":"used_in_publication"}]},"month":"12","_id":"13059","main_file_link":[{"url":"https://doi.org/10.5281/zenodo.3271452","open_access":"1"}],"day":"07","date_published":"2018-12-07T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_created":"2023-05-23T16:08:20Z","ddc":["570"],"oa_version":"Published Version","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)"},"status":"public","oa":1,"doi":"10.5281/ZENODO.2025846","citation":{"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>.","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>.","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>","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>.","ieee":"E. Garriga <i>et al.</i>, “Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method.” Zenodo, 2018.","short":"E. Garriga, P. di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H. Laayouni, F. Kondrashov, E. Floden, C. Notredame, (2018).","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>"},"publisher":"Zenodo","type":"research_data_reference","license":"https://creativecommons.org/licenses/by/4.0/","year":"2018","date_updated":"2025-07-10T11:54:19Z","department":[{"_id":"FyKo"}]}