ArticleNAR genomics and bioinformatics2020
Some thoughts on counts in sequencing studies.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed.
- Proportionality-based association metrics in count compositional data.NAR genomics and bioinformatics · 2026Article
- A Logratio Approach to the Analysis of Autosomal Genotype Frequencies Across Multiple Samples.Molecular ecology resources · 2026Article
- Pairwise ratio-based differential abundance analysis of infant microbiome 16S sequencing data.NAR genomics and bioinformatics · 2023Article
- Signal and noise in metabarcoding data.PloS one · 2023Article
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- Seasonal environmental variability drives microdiversity within a coastal Synechococcus population.Environmental microbiology · 2021Article
- Editorial: Compositional data analysis and related methods applied to genomics-a first special issue fromNAR genomics and bioinformatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measurements in sequencing studies are mostly based on counts. There is a lack of theoretical developments for the analysis and modelling of this type of data. Some thoughts in this direction are presented, which might serve as a seed. The main issues addressed are the compositional character of multinomial probabilities and the corresponding representation in orthogonal (isometric) coordinates, and modelling distributions for sequencing data taking into account possible effects of amplification techniques.
Identifiers
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.