ArticleBioinformation2009
Finding Alu in primate genomes with AF-1.
Article in Bioinformation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 6 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledRepetitive sequences occupy more than 40% of the human genome which is much larger compared to the 2% occupied by the coding DNA. Amongst these Alu elements are the second largest class of repeats, occupying nearly 10% of the whole genome. Alus have been implicated in many genomic processes, sometimes giving rise to aberrations while many times playing as silent player in genomic and regulatory evolution. Here we present a web server, AF1, exclusively developed for finding Alu like elements. Besides alignment based methodology, this server utilizes probabilistic scanning to find more diverged elements and employs a more precise way of element classification based on unequal weighting of sequence through sequence encoding. AVAILABILITY: AF1 is freely available at http://software.iiar.res.in/af1/. The standalone is also available for download.
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