Literature DB >> 16669765

Bioinformatics and its applications in plant biology.

Seung Yon Rhee1, Julie Dickerson, Dong Xu.   

Abstract

Bioinformatics plays an essential role in today's plant science. As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction. At the same time, many researchers in biology are unfamiliar with available bioinformatics methods, tools, and databases, which could lead to missed opportunities or misinterpretation of the information. In this review, we describe some of the key concepts, methods, software packages, and databases used in bioinformatics, with an emphasis on those relevant to plant science. We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases. Finally, we explore a few emerging research topics in bioinformatics.

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Year:  2006        PMID: 16669765     DOI: 10.1146/annurev.arplant.56.032604.144103

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  15 in total

Review 1.  Systems Biology for Smart Crops and Agricultural Innovation: Filling the Gaps between Genotype and Phenotype for Complex Traits Linked with Robust Agricultural Productivity and Sustainability.

Authors:  Anil Kumar; Rajesh Kumar Pathak; Sanjay Mohan Gupta; Vikram Singh Gaur; Dinesh Pandey
Journal:  OMICS       Date:  2015-10

Review 2.  Dissection of genetic pathways in C. elegans.

Authors:  Zheng Wang; David R Sherwood
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

Review 3.  Arabidopsis thaliana as a model organism in systems biology.

Authors:  Jaimie M Van Norman; Philip N Benfey
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

4.  Identification of biochemical differences between different forms of male infertility by nuclear magnetic resonance (NMR) spectroscopy.

Authors:  Varshini Jayaraman; Soumita Ghosh; Arjun Sengupta; Sudha Srivastava; H M Sonawat; Pratap Kumar Narayan
Journal:  J Assist Reprod Genet       Date:  2014-06-26       Impact factor: 3.412

5.  The Protein Feature Ontology: a tool for the unification of protein feature annotations.

Authors:  Gabrielle A Reeves; Karen Eilbeck; Michele Magrane; Claire O'Donovan; Luisa Montecchi-Palazzi; Midori A Harris; Sandra Orchard; Rafael C Jimenez; Andreas Prlic; Tim J P Hubbard; Henning Hermjakob; Janet M Thornton
Journal:  Bioinformatics       Date:  2008-10-20       Impact factor: 6.937

Review 6.  Functional genomics of root growth and development in Arabidopsis.

Authors:  Anjali Iyer-Pascuzzi; June Simpson; Luis Herrera-Estrella; Philip N Benfey
Journal:  Curr Opin Plant Biol       Date:  2008-12-29       Impact factor: 7.834

7.  Whole genome co-expression analysis of soybean cytochrome P450 genes identifies nodulation-specific P450 monooxygenases.

Authors:  Satish K Guttikonda; Joshi Trupti; Naveen C Bisht; Hui Chen; Yong-Qiang C An; Sona Pandey; Dong Xu; Oliver Yu
Journal:  BMC Plant Biol       Date:  2010-11-09       Impact factor: 4.215

8.  De Novo Assembly of Bitter Gourd Transcriptomes: Gene Expression and Sequence Variations in Gynoecious and Monoecious Lines.

Authors:  Anjali Shukla; V K Singh; D R Bharadwaj; Rajesh Kumar; Ashutosh Rai; A K Rai; Raja Mugasimangalam; Sriram Parameswaran; Major Singh; P S Naik
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

9.  STIFDB-Arabidopsis Stress Responsive Transcription Factor DataBase.

Authors:  K Shameer; S Ambika; Susan Mary Varghese; N Karaba; M Udayakumar; R Sowdhamini
Journal:  Int J Plant Genomics       Date:  2009-10-18

10.  Rise and demise of bioinformatics? Promise and progress.

Authors:  Christos A Ouzounis
Journal:  PLoS Comput Biol       Date:  2012-04-26       Impact factor: 4.475

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