about
Understanding salinity responses and adopting 'omics-based' approaches to generate salinity tolerant cultivars of riceA review of the "Omics" approach to biomarkers of oxidative stress in Oryza sativaEmerging tools, concepts and ideas to track the modulator genes underlying plant drought adaptive traits: An overviewMapping a candidate gene (MdMYB10) for red flesh and foliage colour in apple.Polymorphism identification and improved genome annotation of Brassica rapa through Deep RNA sequencingDiscovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP.Next generation characterisation of cereal genomes for marker discovery.Single nucleotide polymorphism discovery from wheat next-generation sequence data.POEAS: Automated Plant Phenomic Analysis Using Plant Ontology.Analysis of environmental stress factors using an artificial growth system and plant fitness optimization.Network-based Phenome-Genome Association Prediction by Bi-Random Walk.Toward Coalescing Gene Expression and Function with QTLs of Water-Deficit Stress in CottonCo-clustering phenome-genome for phenotype classification and disease gene discovery.Bioinformatics Approach in Plant Genomic Research.Non-destructive Phenotypic Analysis of Early Stage Tree Seedling Growth Using an Automated Stereovision Imaging Method.What new cell biology findings could bring to therapeutics: is it time for a phenome-project in Toxoplasma gondii?Proteomics in evolutionary ecology: linking the genotype with the phenotype.Plant systems biology: insights, advances and challenges.Structural variations in plant genomes.Transfer learning across ontologies for phenome-genome association prediction.Examining the drought stress transcriptome in cotton leaf and root tissue.Future tools for association mapping in crop plants.The FAST technique: a simplified Agrobacterium-based transformation method for transient gene expression analysis in seedlings of Arabidopsis and other plant speciesIntegrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping.Hyperspectral imaging techniques for rapid identification of Arabidopsis mutants with altered leaf pigment status.BASC: an integrated bioinformatics system for Brassica research.The Challenge to Translate OMICS Data to Whole Plant Physiology: The Context Matters.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Plant bioinformatics: from genome to phenome.
@ast
Plant bioinformatics: from genome to phenome.
@en
type
label
Plant bioinformatics: from genome to phenome.
@ast
Plant bioinformatics: from genome to phenome.
@en
prefLabel
Plant bioinformatics: from genome to phenome.
@ast
Plant bioinformatics: from genome to phenome.
@en
P1476
Plant bioinformatics: from genome to phenome.
@en
P304
P356
10.1016/J.TIBTECH.2004.03.002
P577
2004-05-01T00:00:00Z