Version v1.1

Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method

Garriga Nogales, Edgar;Di Tommaso, Paolo;Magis, Cedrik;Erb, Ionas;Laayouni, Hafid;Kondrashov, Fyodor;Floden, Evan;Notredame, Cedric

Description

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".It also contains the Multiple Sequence Alignments (MSAs) generated and well as the main figures and tables from the manuscript.The repository is also available at GitHub (https://github.com/cbcrg/dpa-analysis) release v1.1.For details on how to use the regressive alignment algorithm, see the T-Coffee software suite (https://github.com/cbcrg/tcoffee).

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Genetics

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

95%

Source

Open Alex

Keywords

Multiple Sequence AlignmentRegressive MSABioinformaticsFOS: Computer and information sciencesGenomics

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00