Evidence map›Paper›PMID 27252899›Full record

ArticleQuantitative biology (Beijing, China)2015

Applications of species accumulation curves in large-scale biological data analysis.

Chao Deng, Timothy Daley, Andrew D Smith

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
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  3. Open medicine (Warsaw, Poland) · 2026
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  13. Analysis of human brain tissue derived from DBS surgery.Translational neurodegeneration · 2022
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chao DengMolecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Timothy DaleyMolecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Andrew D SmithMolecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.

Funding

Methods to predict molecular complexity in sequencing experimentsR01HG007650 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SMITH, ANDREW DAVID · 2015 to 2017
$1.2M
NHGRI NIH HHS R01 HG007650
6 · The paper itself

Abstract

The species accumulation curve, or collector's curve, of a population gives the expected number of observed species or distinct classes as a function of sampling effort. Species accumulation curves allow researchers to assess and compare diversity across populations or to evaluate the benefits of additional sampling. Traditional applications have focused on ecological populations but emerging large-scale applications, for example in DNA sequencing, are orders of magnitude larger and present new challenges. We developed a method to estimate accumulation curves for predicting the complexity of DNA sequencing libraries. This method uses rational function approximations to a classical non-parametric empirical Bayes estimator due to Good and Toulmin [Biometrika, 1956, 43, 45-63]. Here we demonstrate how the same approach can be highly effective in other large-scale applications involving biological data sets. These include estimating microbial species richness, immune repertoire size, and

Indexed as

accumulation regionimmune repertoiremicrobiome diversityrational function approximationspecies accumulation curvespecies richness

Identifiers

PMID27252899
PMCPMC4885658

What OpenQuestion holds

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Registered trials

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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.