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Lai, L.M., Liberzon, A., Hennessey, J., Jiang, G.X., Qi, J.L., Mesirov, J.P. and Ge, S.X. (2012) AraPath: A Knowledgebase for Pathway Analysis in Arabidopsis. Bioinformatics, 28, 2291-2292.
https://doi.org/10.1093/bioinformatics/bts421

has been cited by the following article:

• TITLE: Quantitative Analysis of Pathway Enrichment within Faba Bean Seeds RNA-Seq (Vicia faba L)

  AUTHORS: Shi Y. Yang, Nuredin Habili, Qi Wu, Yunjie Wang, Jiang Li, Jeffrey G. Paull

  KEYWORDS: RNA-Seq (Quantification), Faba Bean (Vicia faba), Seed, Pathway Enrichment, Quantitative Analysis

  JOURNAL NAME: American Journal of Plant Sciences, Vol.10 No.12, December 31, 2019

  ABSTRACT: Faba bean (Vicia faba L) seeds are an important source of plant protein for humans and animals. A total of 15,697 Differentially Expressed Genes (DEGs) with pathway annotation were discovered in RNA-Seq of the faba bean seeds. A total of 75 significant KEGG pathways abundance were discovered and 9 pathways were conserved within all genotypes. 41 significant pathways were found to be partially conserved within comparisons of 2 to 6 pairs of genotypes and 25 significant pathways were unique to single pairs of genotypes. There were 8 specific significant pathways discovered related to the faba bean seed Hydration Capacity trait and 9 specific significant pathways discovered related to the PSbMV seeds staining trait. The DEGs demonstrated the genetic distance between these varieties was confirmed by the breeding pedigree selection information and a PCA graph clearly illustrated the genetic distance within these genotypes.