ArticleNucleic acids research2007
Wheat Estimated Transcript Server (WhETS): a tool to provide best estimate of hexaploid wheat transcript sequence.
Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Mining novel genomic regions and candidate genes of heading and flowering dates in bread wheat by SNP- and haplotype-based GWAS.Molecular breeding : new strategies in plant improvement · 2023Article
- Summarizing and exploring data of a decade of cytokinin-related transcriptomics.Frontiers in plant science · 2015Article
- Comparative evaluation of intron prediction methods and detection of plant genome annotation using intron length distributions.Genomics & informatics · 2012Article
- Cell walls of developing wheat starchy endosperm: comparison of composition and RNA-Seq transcriptome.Plant physiology · 2012Article
- Wheat grain development is characterized by remarkable trehalose 6-phosphate accumulation pregrain filling: tissue distribution and relationship to SNF1-related protein kinase1 activity.Plant physiology · 2011Article
- Early activation of wheat polyamine biosynthesis during Fusarium head blight implicates putrescine as an inducer of trichothecene mycotoxin production.BMC plant biology · 2010Article
- Down-regulation of the CSLF6 gene results in decreased (1,3;1,4)-beta-D-glucan in endosperm of wheat.Plant physiology · 2010Article
- TriFLDB: a database of clustered full-length coding sequences from Triticeae with applications to comparative grass genomics.Plant physiology · 2009Article
- Transcriptome analysis of grain development in hexaploid wheat.BMC genomics · 2008Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
Wheat biologists face particular problems because of the lack of genomic sequence and the three homoeologous genomes which give rise to three very similar forms for many transcripts. However, over 1.3 million available public-domain Triticeae ESTs (of which approximately 850,000 are wheat) and the full rice genomic sequence can be used to estimate likely transcript sequences present in any wheat cDNA sample to which PCR primers may then be designed. Wheat Estimated Transcript Server (WhETS) is designed to do this in a convenient form, and to provide information on the number of matching EST and high quality cDNA (hq-cDNA) sequences, tissue distribution and likely intron position inferred from rice. Triticeae EST and hq-cDNA sequences are mapped onto rice loci and stored in a database. The user selects a rice locus (directly or via Arabidopsis) and the matching Triticeae sequences are assembled according to user-defined filter and stringency settings. Assembly is achieved initially with the CAP3 program and then with a single nucleotide polymorphism (SNP)-analysis algorithm designed to separate homoeologues. Alignment of the resulting contigs and singlets against the rice template sequence is then displayed. Sequences and assembly details are available for download in fasta and ace formats, respectively. WhETS is accessible at http://www4.rothamsted.bbsrc.ac.uk/whets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.