Evidence map›Paper›PMID 33986091›Full record

ArticleMicrobiology resource announcements2021

sparse-growth-curve: a Computational Pipeline for Parsing Cellular Growth Curves with Low Temporal Resolution.

Chuankai Cheng, J Cameron Thrash

Abstract read
In one paragraph

Article in Microbiology resource announcements, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Parsley: a web app for parsing data from plate readers.Bioinformatics (Oxford, England) · 2023
    Article
  9. Article
  10. Article
  11. Draft Genome Sequence of the MarineMicrobiology resource announcements · 2022
    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

2 authors.

Chuankai ChengDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-0524-8916
J Cameron ThrashDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA thrash@usc.edu.ORCID https://orcid.org/0000-0003-0896-9986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we introduce a Python-based repository, sparse-growth-curve, a software package designed for parsing cellular growth curves with low temporal resolution. The repository uses cell density and time data as the input, automatically separates different growth phases, calculates the exponential growth rates, and produces multiple graphs to aid in interpretation.

Identifiers

PMID33986091
PMCPMC8142577

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.