Evidence map›Paper›PMID 25721608›Full record

ReviewGenomics, proteomics & bioinformatics2015

A brief review of software tools for pangenomics.

Jingfa Xiao, Zhewen Zhang, Jiayan Wu, Jun Yu

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2015. 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. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. High-Throughput Genotyping Technologies in Plant Taxonomy.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  7. Integrating pan-genome with metagenome for microbial community profiling.Computational and structural biotechnology journal · 2021
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Genome Sequencing and Pan-Genome Analysis of 23Frontiers in microbiology · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

4 authors.

Jingfa XiaoCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: xiaojf@big.ac.cn.
Zhewen ZhangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jiayan WuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jun YuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the proposal for pangenomic study, there have been a dozen software tools actively in use for pangenomic analysis. By the end of 2014, Panseq and the pan-genomes analysis pipeline (PGAP) ranked as the top two most popular packages according to cumulative citations of peer-reviewed scientific publications. The functions of the software packages and tools, albeit variable among them, include categorizing orthologous genes, calculating pangenomic profiles, integrating gene annotations, and constructing phylogenies. As epigenomic elements are being gradually revealed in prokaryotes, it is expected that pangenomic databases and toolkits have to be extended to handle information of detailed functional annotations for genes and non-protein-coding sequences including non-coding RNAs, insertion elements, and conserved structural elements. To develop better bioinformatic tools, user feedback and integration of novel features are both of essence.

Indexed as

Computational BiologyGenomeSoftwareBacteriaDatabases, FactualGenomicsHumansMolecular Sequence AnnotationOpen Reading FramesPhylogenyComparative analysisCore genesGenomic dynamicsPangenomePangenomics

Identifiers

PMID25721608
PMCPMC4411478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.