Evidence map›Paper›PMID 30391162›Full record

ArticleCell systems2018

Unbiased Fitness Estimation of Pooled Barcode or Amplicon Sequencing Studies.

Fangfei Li, Marc L Salit, Sasha F Levy

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Direct estimation of genotype fitness from time series.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Intra-Frontiers in genetics · 2023
    Article
  18. Article
  19. Article
  20. Article
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.

Fangfei LiDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.
Marc L SalitJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA; National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Sasha F LevyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Joint Initiative for Metrology in Biology, Stanford, CA 94305, USA; National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA. Electronic address: sflevy@stanford.edu.

Funding

PPiSeq: High-Throughput Protein-Protein Interaction SequencingR01HG008354 · NHGRI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LEVY, SASHA F · 2015 to 2018
$1.5M
High-throughput genetic interaction sequencing in mammalian cellsR21HG009255 · NHGRI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LEVY, SASHA F, POWERS, SCOTT · 2016 to 2017
$399k
NHGRI NIH HHS R01 HG008354NHGRI NIH HHS R21 HG009255
6 · The paper itself

Abstract

Standard practice for phenotyping complex cell pools is to measure the fold enrichment of genotype-specific amplicons after a period of competitive growth. Here, we show that fold-enrichment measures cannot be compared across genotype pools with different fitness distributions. We develop a method to calculate an unbiased estimate of relative fitness by tracking abundances over several time points and show how to optimize experimental protocols to minimize fitness measurement error.

Indexed as

AlgorithmsDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingSequence Analysis, DNAamplicon sequencingbarcode sequencingCRISPRdeep mutational scanningexperimental biasfitnessFit-Seqfold enrichmentlog-linear regressionpooled growthreproducibility

Identifiers

PMID30391162
PMCPMC6265064

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.