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ZENODO
Other ORP type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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What Impact Do New Homologs Have on Detecting Interdomain Horizontal Gene Transfer in Eukaryotes? A Reassessment of Katz (2015)

What Impact Do New Homologs Have on Detecting Interdomain Horizontal Gene Transfer in Eukaryotes? A Reassessment of Katz (2015)

Abstract

This file contains two subdirectories: one for Gblocks-refined alignments in FASTA format and another for phylogenetic trees in Nexus format, constructed from candidate interdomain HGT events reported in Katz (2015) and updated with current NCBI data. For clarity, each file is labeled with the candidate's ID from the NCBI NR database and the corresponding OG5 code from Katz (2015). The analysis reveals new homologs that may challenge—and potentially refute—many of the previously proposed horizontal gene transfer candidates between prokaryotes and eukaryotes in Katz (2015).

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average