Evidence map›Paper›PMID 30987585›Full record

ArticleBMC bioinformatics2019

FGMP: assessing fungal genome completeness.

Ousmane H Cissé, Jason E Stajich

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Article
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  9. Article
  10. Genome Assembly and Analyses of the MacrofungusBioMed research international · 2021
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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.

Ousmane H CisséDepartment of Microbiology & Plant Pathology and Institute for Integrative Genome Biology, University of California-Riverside, Riverside, CA, 92521, USA. ousmanecis@gmail.com.ORCID http://orcid.org/0000-0002-2990-2185
Jason E StajichDepartment of Microbiology & Plant Pathology and Institute for Integrative Genome Biology, University of California-Riverside, Riverside, CA, 92521, USA. jason.stajich@ucr.edu.

Funding

Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
Agricultural Research Service CA-R-PPA-5062-H.National Institutes of Health GM108492National Science Foundation DEB-1441715NIH HHS S10 OD016290Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 151780
6 · The paper itself

Abstract

backgroundInexpensive high-throughput DNA sequencing has democratized access to genetic information for most organisms so that research utilizing a genome or transcriptome of an organism is not limited to model systems. However, the quality of the assemblies of sampled genomes can vary greatly which hampers utility for comparisons and meaningful interpretation. The uncertainty of the completeness of a given genome sequence can limit feasibility of asserting patterns of high rates of gene loss reported in many lineages.

resultsWe propose a computational framework and sequence resource for assessing completeness of fungal genomes called FGMP (Fungal Genome Mapping Project). Our approach is based on evolutionary conserved sets of proteins and DNA elements and is applicable to various types of genomic data. We present a comparison of FGMP and state-of-the-art methods for genome completeness assessment utilizing 246 genome assemblies of fungi. We discuss genome assembly improvements/degradations in 57 cases where assemblies have been updated, as recorded by NCBI assembly archive.

conclusionFGMP is an accurate tool for quantifying level of completion from fungal genomic data. It is particularly useful for non-model organisms without reference genomes and can be used directly on unassembled reads, which can help reducing genome sequencing costs.

Indexed as

Genome, FungalSoftwareBase SequenceBiomarkersComputer SimulationFungal ProteinsFungiSequence Analysis, DNABiomarkersFungal ProteinsAssemblyConserved elementsGene model

Identifiers

PMID30987585
PMCPMC6466665

What OpenQuestion holds

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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.