Author

Chenggen Chu

Agricultural Research ServiceORCID 0000-0001-6189-5985Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

Amir M. H. IbrahimiD· 2 shared Jackie C. RuddiD· 2 shared Nadim W. AlkharoufiD· 2 shared Shuyu LiuiD· 2 shared Vincent P. KlinkiD· 2 shared Alina R. AkhunovaiD· 1 shared Andrew KatziD· 1 shared Arron Hyrum CarteriD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Amir M. H. IbrahimORCID

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4 papers

Recent·Most cited

GenomicsbioRxivPreprintNov 19, 2024

The sugar beet root maggot, Tetanops myopaeformis transcriptome sample statistics in relation to it experiencing susceptible and resistant reactions with sugar beet, Beta vulgaris ssp. vulgaris

Sudha Acharya, Nadim W. Alkharouf, Muhammad Massub Tehseen…·Vincent P. Klink

The paper analyzes the transcriptome of sugar beet root maggot larvae in response to resistant and susceptible sugar beet plants, identifying gene expression patterns and potential biological insights.

DOI 10.1101/2024.11.19.624160

bulk RNA-seqstatistical model

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 11, 2023

An assembly of genomic dataset sequences of the sugar beet root maggot Tetanops myopaeformis, TpSBRM_v1.0

Nadim W. Alkharouf, Chenggen Chu, Vincent P. Klink

The paper presents a de novo assembled genome sequence of the sugar beet root maggot Tetanops myopaeformis, providing resources for studying its biology and developing control strategies.

DOI 10.1101/2023.10.11.561894

whole-genome sequencingexperimental assay

𝕏 PostBluesky

GenomicsG3 Genes Genomes GeneticsPeer-reviewedNov 9, 2021

Development of the Wheat Practical Haplotype Graph Database as a Resource for Genotyping Data Storage and Genotype Imputation

Katherine W. Jordan, Peter J. Bradbury, Zachary R. Miller…·Eduard Akhunov

The paper develops a wheat haplotype graph database for efficient genotype storage and imputation, showing improved accuracy over existing methods.

31 citations

whole-exome sequencingstatistical model

𝕏 PostBluesky

GeneticsPLoS ONEPeer-reviewedDec 2, 2020

Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112

Yan Yang, Smit Dhakal, Chenggen Chu…·Shuyu Liu

This study identifies QTL associated with yield and yield components in two wheat cultivars under different environmental conditions.

30 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky