Author

Abdulqader Jighly

Agriculture VictoriaORCID 0000-0002-2712-3698Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:genome assembly· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

German Spangenberg· 1 shared Hans D. DaetwyleriD· 1 shared Reem JoukhadariD· 1 shared Richard M. TrethowaniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperPlant Biology

German Spangenberg

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintMay 21, 2026

DeepBioGS: a hybrid framework for integrating crop growth modelling with genomic prediction through neural networks

Abdulqader Jighly, Reem Joukhadar, Richard M. Trethowan…·German Spangenberg

DeepBioGS integrates genomic selection with crop growth models using deep learning to improve prediction of genotype performance across environments.

DOI 10.64898/2026.05.11.724249

plant (other)deep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 7, 2020

Third generation indexing for third generation sequencing

Abdulqader Jighly

This paper introduces a new indexing algorithm for third-generation sequencing data that reduces index size and improves error tolerance, enabling faster assembly and variant calling.

DOI 10.1101/2020.05.07.082347

yeastwhole-genome sequencing

𝕏 PostBluesky