AgBase: supporting functional modeling in agricultural organisms.
about
Application of Functional Genomics for Bovine Respiratory Disease DiagnosticsPutative regulatory factors associated with intramuscular fat contentGenetic features of red and green junglefowls and relationship with Indonesian native chickens Sumatera and Kedu HitamA chromosome-based draft sequence of the hexaploid bread wheat (Triticum aestivum) genomeProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.The reference transcriptome of the adult female biting midge (Culicoides sonorensis) and differential gene expression profiling during teneral, blood, and sucrose feeding conditions.Computational prediction of disease microRNAs in domestic animalsTranscriptome-based differentiation of closely-related Miscanthus lines.Developing a biocuration workflow for AgBase, a non-model organism database.Cross-Ontology multi-level association rule mining in the Gene Ontology.Coordinated regulation of photosynthesis in rice increases yield and tolerance to environmental stress.Ultrasonic incisions produce less inflammatory mediator response during early healing than electrosurgical incisions.g:Profiler--a web server for functional interpretation of gene lists (2011 update).Biochemical functional predictions for protein structures of unknown or uncertain functionTranscriptomic dissection of the rice-Burkholderia glumae interaction.Genetic dissection of the biotic stress response using a genome-scale gene network for rice.The UniProt-GO Annotation database in 2011.Tolerant and Susceptible Sesame Genotypes Reveal Waterlogging Stress Response Patterns.FOXO1, PXK, PYCARD and SAMD9L are differentially expressed by fibroblast-like cells in equine synovial membrane compared to joint capsule.The plant ontology as a tool for comparative plant anatomy and genomic analysesThe spliced leader trans-splicing mechanism in different organisms: molecular details and possible biological roles.Modifications of fungal membrane proteins profile under pathogenicity induction: A proteomic analysis of Botrytis cinerea membranome.agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.Global landscape of a co-expressed gene network in barley and its application to gene discovery in Triticeae crops.Bioinformatics resources for pollen.Resources and Recommendations for Using Transcriptomics to Address Grand Challenges in Comparative Biology.Computational prediction of secretion systems and secretomes of Brucella: identification of novel type IV effectors and their interaction with the host.Gene Co-expression Analysis Indicates Potential Pathways and Regulators of Beef Tenderness in Nellore Cattle
P2860
Q26777353-9BD8E033-820E-4A51-8755-2B086AC02116Q27305401-EEA3EFAF-011A-44A3-9C6A-CA04D286418FQ28603298-8D49922E-F340-4243-AEB3-D534CB60C765Q29029314-6F766F0F-FD03-4149-B66E-4BFBABB27AEBQ30956882-18E9724F-304F-49E6-9A6E-4916A17D8D35Q33670695-503B751B-EFDC-49F2-A012-8012FB5924F8Q33881021-4E64B791-BEFC-4F01-A298-C7706D1C48CDQ34130715-F8BF1F73-2FF2-4159-B4B1-A2007113B998Q34312384-1D2C98A2-A562-4E3A-9C69-B0CE8B5A5C73Q34448242-C48DC36A-DA9D-4F16-8931-E1921AF04811Q34453812-EA4A42BC-AC1E-43EF-96AC-72981C5707C3Q34994284-8650D869-A066-4785-B411-5D6940041D87Q35075627-93E0AE3C-2E05-47AC-8FBB-54A40127B027Q35214509-BA9E6FAE-AD67-4D5A-8C5A-2BA689DFD484Q35237274-A8997B37-6FE3-4E3C-B530-72B5293A3635Q35546770-B834E3DD-F5E7-49FE-A629-5CA9C55F1CB9Q35630729-DD963DBC-414C-419C-A708-BE8E13C197BEQ35943281-197BDDB1-8B59-4BFE-86A2-610E88642EEAQ36347326-70C1FCD2-3B77-483F-83F0-608715253DDCQ36640777-448EB6A0-47A0-4984-ACEF-4C7A011C6CFCQ37226361-A676E9A5-8668-4AEB-8C21-843EF4E4E7A9Q38391028-BD868043-6203-4164-8FAB-1050E7048AA3Q38433950-C9D7E1D3-0427-4922-B3FC-EEC9D1D4A3FDQ38502849-C69886B2-6B6F-4E45-AE2A-754BC00361CEQ38857787-EB86DFBB-392F-449E-93D7-EB3D0D15C8F4Q43893337-C8E866D5-35E7-4AD3-B58A-45A79985B7B4Q46638765-F1D3B869-DF33-4168-8942-3805F31F671BQ57817924-CB77174B-F607-4C5D-BC28-A6031BF36BF7
P2860
AgBase: supporting functional modeling in agricultural organisms.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
AgBase: supporting functional modeling in agricultural organisms.
@ast
AgBase: supporting functional modeling in agricultural organisms.
@en
AgBase: supporting functional modeling in agricultural organisms.
@nl
type
label
AgBase: supporting functional modeling in agricultural organisms.
@ast
AgBase: supporting functional modeling in agricultural organisms.
@en
AgBase: supporting functional modeling in agricultural organisms.
@nl
prefLabel
AgBase: supporting functional modeling in agricultural organisms.
@ast
AgBase: supporting functional modeling in agricultural organisms.
@en
AgBase: supporting functional modeling in agricultural organisms.
@nl
P2093
P2860
P356
P1476
AgBase: supporting functional modeling in agricultural organisms
@en
P2093
Cathy R Gresham
Fiona M McCarthy
Lakshmi R Pillai
Philippe Chouvarine
Ranjit Kumar
Seval Ozkan
Shane C Burgess
Susan M Bridges
Tony Arick
P2860
P304
P356
10.1093/NAR/GKQ1115
P407
P433
Database issue
P577
2010-11-12T00:00:00Z