ArticleViruses2010
JaPaFi: A Novel Program for the Identification of Highly Conserved DNA Sequences.
Article in Viruses, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- A novel method for conserved sequence extraction with prospective mutation prediction for SARS-CoV-2 PCR primer design.Journal of virological methods · 2021Article
- Suffix tree searcher: exploration of common substrings in large DNA sequence sets.BMC research notes · 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
5 authors.
Funding
Abstract
We describe the use of Java Pattern Finder (JaPaFi) to identify short (<100 nt) highly conserved sequences in a series of poxvirus genomes. The algorithm utilizes pattern matching to identify approximate matches appearing at least once in each member of a set of genomes; a key feature is that the genomes do not need to be aligned. The user simply specifies the genomes to search, minimum length of sequences to find and the maximum number of mismatches and indels allowed. Many of the most highly conserved segments contain poxvirus promoter elements.
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What OpenQuestion holds
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.