Candidate Gene Mining
Candidate Gene Mining is a targeted molecular genetic approach that identifies and characterizes specific genes exhibiting allelic variation associated with a trait of interest by leveraging prior knowledge of gene function, pathway involvement, or sequence homology within a defined population.
374
Publications
21.3K
Citations
2.8K
Authors
984
Institutions
Publications per year
2017–2026
138
Parents
374
GeneMatcher: A Matching Tool for Connecting Investigators with an Interest in the Same Gene
Nara Sobreira, François Schiettecatte, David Valle et al. · Human Mutation · 2015 · 1.6K citations · Full text
genBlastA: Enabling BLAST to identify homologous gene sequences
Rong She, Jeffrey Chu, Ke Wang et al. · Genome Research · 2008 · 448 citations · Full text
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984
Chinese Academy of Agricultural Sciences
Beijing, China
15 h-index
112 publications
4.9K citations
Stanford University
Stanford, United States
10 h-index
46 publications
2.4K citations
Harvard University
Cambridge, United States
9 h-index
21 publications
1.1K citations
Inserm
Paris, France
9 h-index
29 publications
1.4K citations
Northwest A&F University
Yangling, China
9 h-index
46 publications
1.8K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
8 h-index
62 publications
1.5K citations

Huazhong Agricultural University
Wuhan, China
8 h-index
58 publications
4K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
19 publications
596 citations
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25 publications · 1.3K citations
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19 publications · 933 citations
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15 publications · 838 citations
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10 publications · 1.2K citations
10
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8 publications · 209 citations
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