---
res:
  bibo_abstract:
  - "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).@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Edgar
      foaf_name: Garriga, Edgar
      foaf_surname: Garriga
  - foaf_Person:
      foaf_givenName: Paolo
      foaf_name: di Tommaso, Paolo
      foaf_surname: di Tommaso
  - foaf_Person:
      foaf_givenName: Cedrik
      foaf_name: Magis, Cedrik
      foaf_surname: Magis
  - foaf_Person:
      foaf_givenName: Ionas
      foaf_name: Erb, Ionas
      foaf_surname: Erb
  - foaf_Person:
      foaf_givenName: Leila
      foaf_name: Mansouri, Leila
      foaf_surname: Mansouri
  - foaf_Person:
      foaf_givenName: Athanasios
      foaf_name: Baltzis, Athanasios
      foaf_surname: Baltzis
  - foaf_Person:
      foaf_givenName: Hafid
      foaf_name: Laayouni, Hafid
      foaf_surname: Laayouni
  - foaf_Person:
      foaf_givenName: Fyodor
      foaf_name: Kondrashov, Fyodor
      foaf_surname: Kondrashov
      foaf_workInfoHomepage: http://www.librecat.org/personId=44FDEF62-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-8243-4694
  - foaf_Person:
      foaf_givenName: Evan
      foaf_name: Floden, Evan
      foaf_surname: Floden
  - foaf_Person:
      foaf_givenName: Cedric
      foaf_name: Notredame, Cedric
      foaf_surname: Notredame
  bibo_doi: 10.5281/ZENODO.2025846
  dct_date: 2018^xs_gYear
  dct_publisher: Zenodo@
  dct_title: Fast and accurate large multiple sequence alignments with a root-to-leaf
    regressive method@
...