Short Views on Insect Genomics and Proteomics
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portes grátis
Short Views on Insect Genomics and Proteomics
Insect Genomics, Vol.1
Agunbiade, Tolulope A.; Goldsmith, Marian R.; Raman, Chandrasekar
Springer International Publishing AG
12/2015
202
Dura
Inglês
9783319242330
15 a 20 dias
4675
Descrição não disponível.
1. Body lice: From the genome project to functional genomics and reverse genetics.- 2. Advances in the genomics of the whitefly Bemisia tabaci: an insect pest and a virus vector.- 3. Updating genomic data of Lepidoptera.- 4. Molecular adaptations of aphid biotypes in overcoming host plant resistance.- 5. Integrative genomic approaches to studying epigenetic mechanisms of phenotypic plasticity in the aphid.- 6.
Insect regulatory genomics.- 7. Comparative genomics of transcription factor binding in Drosophila.- 8. The little known universe of short proteins in insects: A machine learning approach
Insect regulatory genomics.- 7. Comparative genomics of transcription factor binding in Drosophila.- 8. The little known universe of short proteins in insects: A machine learning approach
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Bioinformatics;Gene Expression;Insect Chemosensory Genes;Insect Genomics;Molecular Biology;Entomology
1. Body lice: From the genome project to functional genomics and reverse genetics.- 2. Advances in the genomics of the whitefly Bemisia tabaci: an insect pest and a virus vector.- 3. Updating genomic data of Lepidoptera.- 4. Molecular adaptations of aphid biotypes in overcoming host plant resistance.- 5. Integrative genomic approaches to studying epigenetic mechanisms of phenotypic plasticity in the aphid.- 6.
Insect regulatory genomics.- 7. Comparative genomics of transcription factor binding in Drosophila.- 8. The little known universe of short proteins in insects: A machine learning approach
Insect regulatory genomics.- 7. Comparative genomics of transcription factor binding in Drosophila.- 8. The little known universe of short proteins in insects: A machine learning approach
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
