Literature DB >> 27987168

The Evolution of Soybean Knowledge Base (SoyKB).

Trupti Joshi1,2, Jiaojiao Wang3, Hongxin Zhang3, Shiyuan Chen3, Shuai Zeng3, Bowei Xu3, Dong Xu3.   

Abstract

Soybean Knowledge Base (SoyKB) is a comprehensive all-inclusive web resource for bridging the gap between soybean translational genomics and molecular breeding. It provides information for six entities including genes/proteins, microRNAs (miRNAs)/small interfering RNAs (sRNA), metabolites, single nucleotide polymorphisms (SNPs), and plant introduction lines and traits. It has a user-friendly web interface publicly available at http://soykb.org , which integrates and presents data in an intuitive manner to the soybean researchers, breeders, and consumers. It incorporates several informatics and analytical tools for integrating and merging various multi-omics datasets.

Entities:  

Keywords:  Database; Genomics; Glycine max; Knowledge base; Metabolomics; Multi-omics; Proteomics; SoyKB; Soybean; Transcriptomics

Mesh:

Year:  2017        PMID: 27987168     DOI: 10.1007/978-1-4939-6658-5_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  A seed germination transcriptomic study contrasting two soybean genotypes that differ in terms of their tolerance to the deleterious impacts of elevated temperatures during seed fill.

Authors:  Jason D Gillman; Jessica J Biever; Songqing Ye; William G Spollen; Scott A Givan; Zhen Lyu; Trupti Joshi; James R Smith; Felix B Fritschi
Journal:  BMC Res Notes       Date:  2019-08-19

2.  Large-Scale Integrative Analysis of Soybean Transcriptome Using an Unsupervised Autoencoder Model.

Authors:  Lingtao Su; Chunhui Xu; Shuai Zeng; Li Su; Trupti Joshi; Gary Stacey; Dong Xu
Journal:  Front Plant Sci       Date:  2022-03-03       Impact factor: 5.753

3.  Genome-wide identification and evolutionary analysis of TGA transcription factors in soybean.

Authors:  Ihteram Ullah; Mahmoud Magdy; Lixiang Wang; Mengyu Liu; Xia Li
Journal:  Sci Rep       Date:  2019-08-01       Impact factor: 4.379

4.  Dissection of soybean populations according to selection signatures based on whole-genome sequences.

Authors:  Jae-Yoon Kim; Seongmun Jeong; Kyoung Hyoun Kim; Won-Jun Lim; Ho-Yeon Lee; Namhee Jeong; Jung-Kyung Moon; Namshin Kim
Journal:  Gigascience       Date:  2019-12-01       Impact factor: 6.524

  4 in total

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