Literature DB >> 19277571

Expressed sequence tags: an overview.

John Parkinson1, Mark Blaxter.   

Abstract

Expressed sequence tags (ESTs) are fragments of mRNA sequences derived through single sequencing reactions performed on randomly selected clones from cDNA libraries. To date, over 45 million ESTs have been generated from over 1400 different species of eukaryotes. For the most part, EST projects are used to either complement existing genome projects or serve as low-cost alternatives for purposes of gene discovery. However, with improvements in accuracy and coverage, they are beginning to find application in fields such as phylogenetics, transcript profiling and proteomics. This volume provides practical details on the generation and analysis of ESTs. Chapters are presented which cover creation of cDNA libraries; generation and processing of sequence data; bioinformatics analysis of ESTs; and their application to phylogenetics and transcript profiling.

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Year:  2009        PMID: 19277571     DOI: 10.1007/978-1-60327-136-3_1

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


  23 in total

Review 1.  Using proteomics to study sexual reproduction in angiosperms.

Authors:  Ján A Miernyk; Anna Preťová; Adela Olmedilla; Katarína Klubicová; Bohuš Obert; Martin Hajduch
Journal:  Sex Plant Reprod       Date:  2010-09-10

2.  The mining of toxin-like polypeptides from EST database by single residue distribution analysis.

Authors:  Sergey Kozlov; Eugene Grishin
Journal:  BMC Genomics       Date:  2011-01-31       Impact factor: 3.969

3.  454 EST analysis detects genes putatively involved in ginsenoside biosynthesis in Panax ginseng.

Authors:  S Chen; H Luo; Y Li; Y Sun; Q Wu; Y Niu; J Song; A Lv; Y Zhu; C Sun; A Steinmetz; Z Qian
Journal:  Plant Cell Rep       Date:  2011-04-12       Impact factor: 4.570

Review 4.  Insect phylogenomics.

Authors:  S K Behura
Journal:  Insect Mol Biol       Date:  2015-05-12       Impact factor: 3.585

5.  De novo sequencing and analysis of the American ginseng root transcriptome using a GS FLX Titanium platform to discover putative genes involved in ginsenoside biosynthesis.

Authors:  Chao Sun; Ying Li; Qiong Wu; Hongmei Luo; Yongzhen Sun; Jingyuan Song; Edmund M K Lui; Shilin Chen
Journal:  BMC Genomics       Date:  2010-04-24       Impact factor: 3.969

6.  Sequencing, analysis, and annotation of expressed sequence tags for Camelus dromedarius.

Authors:  Abdulaziz M Al-Swailem; Maher M Shehata; Faisel M Abu-Duhier; Essam J Al-Yamani; Khalid A Al-Busadah; Mohammed S Al-Arawi; Ali Y Al-Khider; Abdullah N Al-Muhaimeed; Fahad H Al-Qahtani; Manee M Manee; Badr M Al-Shomrani; Saad M Al-Qhtani; Amer S Al-Harthi; Kadir C Akdemir; Mehmet S Inan; Hasan H Otu
Journal:  PLoS One       Date:  2010-05-19       Impact factor: 3.240

7.  Whole transcriptome analysis using next-generation sequencing of model species Setaria viridis to support C4 photosynthesis research.

Authors:  Jiajia Xu; Yuanyuan Li; Xiuling Ma; Jianfeng Ding; Kai Wang; Sisi Wang; Ye Tian; Hui Zhang; Xin-Guang Zhu
Journal:  Plant Mol Biol       Date:  2013-03-20       Impact factor: 4.076

8.  Modern Approaches for Transcriptome Analyses in Plants.

Authors:  Diego Mauricio Riaño-Pachón; Hector Fabio Espitia-Navarro; John Jaime Riascos; Gabriel Rodrigues Alves Margarido
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

9.  De novo sequencing and analysis of root transcriptome using 454 pyrosequencing to discover putative genes associated with drought tolerance in Ammopiptanthus mongolicus.

Authors:  Yijun Zhou; Fei Gao; Ran Liu; Jinchao Feng; Hongjie Li
Journal:  BMC Genomics       Date:  2012-06-21       Impact factor: 3.969

10.  De novo assembly, functional annotation and comparative analysis of Withania somnifera leaf and root transcriptomes to identify putative genes involved in the withanolides biosynthesis.

Authors:  Parul Gupta; Ridhi Goel; Sumya Pathak; Apeksha Srivastava; Surya Pratap Singh; Rajender Singh Sangwan; Mehar Hasan Asif; Prabodh Kumar Trivedi
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

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