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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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CCycDB (an integrative knowledgebase to fingerprint microbial carbon cycling processes)

Authors: CCycDB; Tu, Qichao; Zhou Jiayin;

CCycDB (an integrative knowledgebase to fingerprint microbial carbon cycling processes)

Abstract

CCycDB - version 2.1 (We have updated the sub-category classifications, especially those concerning the nitrogen cycle) CCycDB - version 2.0 (https://zenodo.org/records/10045943) CCycDB - Version 1.0 (https://zenodo.org/records/8324818) (Please see https://ccycdb.github.io/ for more details) CCycDB is a knowledge-based functional gene database for accurate metagenomic profiling of carbon cycling microbial communities. CCycDB contains 4,676 gene families within 6 categories. These gene families are further categorized into 45 sub-categories within sub-category I and 188 sub-categories within sub-category II with a total of 10,991,724 targeted sequences. A series of validations demonstrated that CCycDB outperformed large public orthology databases in terms of coverage, specificity, and accuracy, and can be used to accurately profile carbon cycling microbial communities in real metagenomic datasets.

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selected citations
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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).
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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.
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