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Peer-reviewedCC BY-NC 4.0Nucleic Acids Research

LoGIC: a cross-species local gene-cluster integrative catalog

  • Linkang Song1,2
  • Diankang Liu1,3
  • Xiu-Jie Wang1,3
  1. 1Center for Zero-to-One Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences , Beijing 100101 ,
  2. 2College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences , Beijing 100101 ,
  3. 3School of Future Technology, University of Chinese Academy of Sciences , Beijing 100101 ,
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Abstract

Homologous genes, especially those sharing close genomic locations and forming gene clusters, often have compensatory roles, therefore pose remarkable challenges for deciphering the functions and relationships of these genes. A comprehensive database of local homologous gene clusters with multimodal information would greatly facilitate such research. Here, we present LoGIC (https://omicslab.genetics.ac.cn/LoGIC/), a Local Gene-cluster Integrative Catalog that includes 20 306 local gene clusters identified from 30 representative eukaryotic species. In addition to the basic genomic features of each gene cluster, LoGIC also allows users to examine the sequence similarity of gene members within a cluster, the functional preference of clustered genes within a species, and the cross-species conservation of gene clusters. Information of tissue-wide expression profile and relationship with chromatin Hi-C structure is also available for human gene clusters. Together, LoGIC can facilitate studies of tandem gene duplication, paralog functional divergence, lineage-specific gene-family expansion, and evolutionary conservation or remodelling of homologous gene clusters across-species.

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Cite

BibTeXRIS
BibTeX
@article{song2026logic,
  title = {{LoGIC: a cross-species local gene-cluster integrative catalog}},
  author = {Linkang Song and Diankang Liu and Xiu-Jie Wang},
  journal = {Nucleic Acids Research},
  year = {2026},
  month = oct,
  doi = {10.1093/nar/gkag1047},
  url = {https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1047/9005754},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - LoGIC: a cross-species local gene-cluster integrative catalog
AU  - Linkang Song
AU  - Diankang Liu
AU  - Xiu-Jie Wang
PY  - 2026
DA  - 2026/10/31
JO  - Nucleic Acids Research
DO  - 10.1093/nar/gkag1047
UR  - https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkag1047/9005754
AB  - Homologous genes, especially those sharing close genomic locations and forming gene clusters, often have compensatory roles, therefore pose remarkable challenges for deciphering the functions and relationships of these genes. A comprehensive database of local homologous gene clusters with multimodal information would greatly facilitate such research. Here, we present LoGIC (https://omicslab.genetics.ac.cn/LoGIC/), a Local Gene-cluster Integrative Catalog that includes 20 306 local gene clusters identified from 30 representative eukaryotic species. In addition to the basic genomic features of each gene cluster, LoGIC also allows users to examine the sequence similarity of gene members within a cluster, the functional preference of clustered genes within a species, and the cross-species conservation of gene clusters. Information of tissue-wide expression profile and relationship with chromatin Hi-C structure is also available for human gene clusters. Together, LoGIC can facilitate studies of tandem gene duplication, paralog functional divergence, lineage-specific gene-family expansion, and evolutionary conservation or remodelling of homologous gene clusters across-species.
SN  - 0305-1048
SN  - 1362-4962
ER  -