PheMaDB: a solution for storage, retrieval, and analysis of high throughput phenotype data
about
Visualization and curve-parameter estimation strategies for efficient exploration of phenotype microarray kineticsProDis-ContSHC: learning protein dissimilarity measures and hierarchical context coherently for protein-protein comparison in protein database retrieval.Genomic comparison of Escherichia coli O104:H4 isolates from 2009 and 2011 reveals plasmid, and prophage heterogeneity, including shiga toxin encoding phage stx2Identifying feasible metabolic routes in Mycobacterium smegmatis and possible alterations under diverse nutrient conditions.
P2860
PheMaDB: a solution for storage, retrieval, and analysis of high throughput phenotype data
description
2011 nî lūn-bûn
@nan
2011 թուականին հրատարակուած գիտական յօդուած
@hyw
2011 թվականին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
PheMaDB: a solution for storag ...... high throughput phenotype data
@ast
PheMaDB: a solution for storag ...... high throughput phenotype data
@en
PheMaDB: a solution for storag ...... high throughput phenotype data
@nl
type
label
PheMaDB: a solution for storag ...... high throughput phenotype data
@ast
PheMaDB: a solution for storag ...... high throughput phenotype data
@en
PheMaDB: a solution for storag ...... high throughput phenotype data
@nl
altLabel
PheMaDB: A solution for storag ...... high throughput phenotype data
@en
prefLabel
PheMaDB: a solution for storag ...... high throughput phenotype data
@ast
PheMaDB: a solution for storag ...... high throughput phenotype data
@en
PheMaDB: a solution for storag ...... high throughput phenotype data
@nl
P2093
P2860
P50
P356
P1433
P1476
PheMaDB: a solution for storag ...... high throughput phenotype data
@en
P2093
Carol E Chapman
Keri Sarver
Nichole Me Nolan
Timothy D Read
Wenling E Chang
P2860
P2888
P356
10.1186/1471-2105-12-109
P407
P577
2011-01-01T00:00:00Z
P5875
P6179
1037649462