CoChat
Sign Up
Cited by 90

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Genetic Bases of Fungal White Rot Wood Decay Predicted by Phylogenomic Analysis of Correlated Gene-Phenotype Evolution

Nagy, László G., Riley, Robert, Bergmann, Philip J., Krizsán, Krisztina, Martin, Francis M., Grigoriev, Igor V., Cullen, Dan, Hibbett, David S.·2017·Molecular Biology and Evolution
DOI 10.1093/molbev/msw238
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/molbev/msw238

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • When a homologous trait has been lost multiple times in independent lineages, there is a relatively high chance of replicated increases in substitution rate, or reductions in copy number of genetic elements associated with the trait.

    “As a result, when a homologous trait has been lost multiple times in independent lineages, there is a relatively high chance of replicated increases in substitution rate, or reductions in copy number of genetic elements associated with the trait (Hiller et al. 2012; Nagy et al. 2017; Zhang et al. 2023).”

    From From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions (2025) · cites this paper as Nagy et al. 2017

  • Gene ontology enrichment tests have often identified significant enrichment in functions related to the trait of interest.

    “This verification can be done through gene ontology enrichment tests, which have often identified significant enrichment in functions related to the trait of interest (Chikina et al. 2016; Prudent et al. 2016; Nagy et al. 2017; Hu et al. 2019; Zhang et al. 2023; Redlich et al. 2024).”

    From From Trees to Traits: A Review of Advances in PhyloG2P Methods and Future Directions (2025) · cites this paper as Nagy et al. 2017

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 53

  1. 10.1016/j.compbiolchem.2008.07.003 · DOI
  2. 10.1186/1471-2105-11-S1-S42 · DOI
  3. 10.1093/bioinformatics/btl558 · DOI
  4. 10.1371/journal.pcbi.0010003 · DOI
  5. 10.1101/gr.141978.112 · DOI · Paper page
  6. 10.1089/106652700750050871 · DOI
  7. Cokus, 2007, An improved method for identifying functionally linked proteins using phylogenetic profiles, BMC Bioinformatics, 8, S7, 10.1186/1471-2105-8-S4-S7 · DOI
  8. 10.1111/j.1469-8137.2009.02774.x · DOI
  9. Dashtban, 2010, Fungal biodegradation and enzymatic modification of lignin, Int J Biochem Mol Biol., 1, 36
  10. 10.1126/science.1205411 · DOI
  11. 10.1126/science.1221748 · DOI
  12. 10.1016/j.fgb.2015.02.002 · DOI
  13. 10.1098/rstb.2008.0144 · DOI
  14. 10.1128/AEM.01604-14 · DOI
  15. Gonzalez, 2009, Genome-wide expression profiling of the osmoadaptation response of Debaryomyces hansenii, Yeast, 26, 111, 10.1002/yea.1656 · DOI
  16. 10.1093/nar/gkt1183 · DOI · Paper page
  17. Hibbett, 2016, Climate, decay, and the death of the coal forests, Curr Biol., 26, R563, 10.1016/j.cub.2016.01.014 · DOI
  18. 10.1007/s00253-010-2633-0 · DOI · Paper page
  19. 10.1186/1754-6834-5-45 · DOI
  20. 10.1186/1471-2105-8-173 · DOI
  21. 10.1038/ng.3223 · DOI
  22. 10.1128/AEM.02064-15 · DOI
  23. Lin, 2013, Combining phylogenetic profiling-based and machine learning-based techniques to predict functional related proteins, PLoS One, 8, e75940., 10.1371/journal.pone.0075940 · DOI
  24. 10.1126/science.1158395 · DOI
  25. 10.1038/nrg2612 · DOI
  26. Martinez, 2005, Biodegradation of lignocellulosics: microbial, chemical, and enzymatic aspects of the fungal attack of lignin, Int Microbiol., 8, 195
  27. 10.1073/pnas.0809575106 · DOI
  28. 10.1038/nbt967 · DOI
  29. 10.1371/journal.pone.0080298 · DOI
  30. Mitchell, 2015, Thermal and moisture habitat preferences do not maximize jumping performance in frogs, Funct Ecol., 30, 733, 10.1111/1365-2435.12535 · DOI
  31. 10.1111/1751-7915.12015 · DOI
  32. 10.1007/s00018-009-0104-5 · DOI
  33. 10.1093/molbev/msv337 · DOI
  34. 10.1038/ncomms5471 · DOI
  35. 10.1073/pnas.1517943113 · DOI
  36. Ohno S. 1970. Evolution by gene duplication. Springer, New York. · DOI · Paper page
  37. 10.1111/j.1469-8137.2012.04128.x · DOI
  38. 10.1073/pnas.96.8.4285 · DOI
  39. Perkel, 2013, Finding the true $1000 genome, Biotechniques, 54, 71, 10.2144/000113988 · DOI
  40. 10.1371/journal.pone.0052854 · DOI
  41. 10.1098/rspb.2000.1278 · DOI
  42. 10.1073/pnas.1400592111 · DOI
  43. 10.1128/MMBR.00035-14 · DOI
  44. 10.1093/bioinformatics/btr720 · DOI
  45. Singh, 2008, Testing the accuracy of eukaryotic phylogenetic profiles for prediction of biological function, Evol Bioinformatics, 4, 217, 10.4137/EBO.S863 · DOI
  46. 10.1186/1471-2105-7-420 · DOI
  47. 10.1093/bioinformatics/btl446 · DOI · Paper page
  48. 10.1093/sysbio/syu048 · DOI
  49. 10.1016/j.jbiotec.2006.12.010 · DOI
  50. 10.1128/AEM.00058-10 · DOI
  51. 10.1186/1754-6834-6-30 · DOI
  52. 10.1093/sysbio/sys076 · DOI
  53. 10.1016/S0169-5347(03)00033-8 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Nagy, L. G., Riley, R., Bergmann, P. J., Krizsán, K., Martin, F. M., Grigoriev, I. V., Cullen, D., & Hibbett, D. S.
Venue
Molecular Biology and Evolution
Publisher
Oxford University Press (OUP)
Published
2016-11-10
Volume
34
Issue
1
Pages
35-44
ISSN
  • 0737-4038
  • 1537-1719
DOI
10.1093/molbev/msw238
Cited by
90
References
3
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review