ArticleBioinformatics (Oxford, England)2014
PSAR-align: improving multiple sequence alignment using probabilistic sampling.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Improved gene tree inference from removing alignment errors both from focal genes and when training substitution models.Molecular biology and evolution · 2026Article
- LMAP_S: Lightweight Multigene Alignment and Phylogeny eStimation.BMC bioinformatics · 2019Article
- Identifying Clusters of High Confidence Homologies in Multiple Sequence Alignments.Molecular biology and evolution · 2019Article
- seq-seq-pan: building a computational pan-genome data structure on whole genome alignment.BMC genomics · 2018Article
- Portable and Error-Free DNA-Based Data Storage.Scientific reports · 2017Article
- Alignathon: a competitive assessment of whole-genome alignment methods.Genome research · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
summaryWe developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools. AVAILABILITY AND IMPLEMENTATION: The PSAR-Align source code (implemented mainly in C++) is freely available for download at http://bioen-compbio.bioen.illinois.edu/PSAR-Align.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.