BioinformaticsBioinformaticsPeer-reviewed journal article
NEFFy: A Versatile Tool for Computing the Number of Effective Sequences
Abstract
SummaryA Multiple Sequence Alignment (MSA) contains fundamental evolutionary information that is useful in the prediction of structure and function of proteins and nucleic acids. The "Number of Effective Sequences" (NEFF) quantifies the diversity of sequences of an MSA. Several tools can compute the NEFF of an MSA, each offering various options. NEFFy is the first software package to integrate all these options and calculate NEFF across diverse MSA formats for proteins, RNAs, and DNAs. It surpasses existing tools in functionality without compromising computational efficiency and scalability. NEFFy also offers per-residue NEFF calculation and supports NEFF computation for MSAs of multimeric proteins, with the capability to be extended to nucleic acids (DNA and RNA). Availability and ImplementationNEFFy is released as open-source software under the GNU General Public License v3.0. The source code in C++ and a Python wrapper are available on GitHub at https://github.com/Maryam-Haghani/NEFFy. To ensure users can fully leverage these capabilities, comprehensive documentation and examples are provided at https://Maryam-Haghani.github.io/NEFFy
- assay: protein sequence
- assay: DNA methylation
- research focus: software / tool
- approach: statistical model
- Citations
- 11
- FWCI
- 3.29
- Field percentile
- top 7%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A spectral framework for measuring diversity in multiple sequence alignments
Vaitea Opuu·PLoS Computational BiologyPeer-reviewed·Sep 23, 2026
- An nf-core framework for the systematic comparison of alternative modeling tools: the multiple sequence alignment case study
Luisa Santus, Jose Espinosa‐Carrasco, … Cédric Notredame·NAR Genomics and BioinformaticsPeer-reviewed·Jul 4, 2025
- Recursive MAGUS: scalable and accurate multiple sequence alignment
Vladimir M. Smirnov·PLoS Computational BiologyPeer-reviewed·Oct 6, 2021
- FAMSA2 enables accurate multiple sequence alignment at protein-universe scale
Adam Gudyś, Andrzej Zieleziński, … Sebastian Deorowicz·Nature BiotechnologyPeer-reviewed·Apr 14, 2026
- A Parallel Multiobjective Metaheuristic for Multiple Sequence Alignment
Álvaro Rubio‐Largo, Mauro Castelli, … Miguel Angel Vega-Rodríguez·Journal of Computational BiologyPeer-reviewed·Apr 19, 2018
- IsarPipeline: Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles
Issar Arab·bioRxiv·Mar 23, 2022