Legume Genomics Methods and Protocols /
Featuring current resources used to discover new legume family genes and to understand genes and their interactions, Legume Genomics: Methods and Protocols provides techniques from expert researchers to study these plants that are so vitally important for food, feed, human nutrition, bioenergy, and...
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| Другие авторы: | |
| Формат: | Электронный ресурс eКнига |
| Язык: | English |
| Опубликовано: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2013.
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| Редактирование: | 1st ed. 2013. |
| Серии: | Methods in Molecular Biology,
1069 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-1-62703-613-9 |
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Оглавление:
- The Model Legume Genomes
- Fluorescent In Situ Hybridization (FISH) on Pachytene Chromosomes as a Tool for Genome Characterization
- Targeted Mutagenesis for Functional Analysis of Gene Duplication in Legumes
- RNA-Seq for Transcriptome Analysis in Non-Model Plants
- Functional Analysis of Legume Genome Arrays
- Genome-Wide Identification of MicroRNAs in Medicago truncatula by High-Throughput Sequencing
- Determining Abundance of MicroRNAs and Other Small RNAs in Legumes
- Forward Genetics Screening of Medicago truncatula Tnt1 Insertion Lines
- Reverse Genetics in Medicago truncatula Using a TILLING Mutant Collection
- High-Throughput and Targeted Genotyping of Lotus japonicus LORE1 Insertion Mutants
- Isolation and Forward Genetic Analysis of Developmental Genes in Pea
- Gene Silencing in Medicago truncatula Roots Using RNAi
- Molecular Markers for Genetics and Plant Breeding: The MFLP Marker System and Its Application in Narrow-Leafed Lupin (Lupinus angustifolius)
- Stable Transformation of Medicago truncatula cv. Jemalong for Gene Analysis Using Agrobacterium tumefaciens
- Transient Gene Expression in Medicago truncatula Leaves Via Agroinfiltration
- Subcellular Localization of Transiently-Expressed Fluorescent Fusion Proteins
- Proteomics and the Analysis of Nodulation
- Phosphoproteomic Analysis of Peptides
- Plant Metabolomics: From Experimental Design to Knowledge Extraction.