Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations

Data for the research paper titled "Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations." Supplementary Table 2: selected 855 [domain, orthogroup] pairs with their domain, orthogroup annotations, 𝑓𝑎𝑙𝑙 , 𝑓𝑂𝐺 , conservation-to-frequency values, and corresponding human/mouse proteins. Resource files (parsed information from databases and outputs from softwares) and source codes to 1) calculate conservation-to-frequency values, 2) print out the list of selected [domain, orthogroup] pairs, and 3) draw histograms to check the distribution.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-07
DOI
https://doi.org/10.5281/zenodo.17351617
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
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article

Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Chromatin Dynamics
article

Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations

article en

Abstract

Data for the research paper titled "Identifying membrane-bound transcriptional regulatory proteins from rare but evolutionarily conserved domain combinations." Supplementary Table 2: selected 855 [domain, orthogroup] pairs with their domain, orthogroup annotations, 𝑓𝑎𝑙𝑙 , 𝑓𝑂𝐺 , conservation-to-frequency values, and corresponding human/mouse proteins. Resource files (parsed information from databases and outputs from softwares) and source codes to 1) calculate conservation-to-frequency values, 2) print out the list of selected [domain, orthogroup] pairs, and 3) draw histograms to check the distribution.

Zenodo (CERN European Organization for Nuclear Research)
The University of Texas at Austin (US)
Zero hunger
Openalex Percentile: Top 99%
Genomics and Chromatin Dynamics
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