Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic isolates of S.pyogenes associated to necrotising fasciitis

ABSTRACT: Genomic isolates of S.pyogenes associated to necrotising fasciitis

PROVIDER: PRJEB34949 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Streptococcal genomic isolates associated to necrotising fasciitis (NSTI)

Project description:Streptococcal genomic isolates associated to necrotising fasciitis (NSTI)

| PRJEB34961 | ENA

Project description:Novel genomic isolates of S.pyogenes and S.dysgalactiae subsp. equisimilis associated to necrotising fasciitis

| PRJNA524111 | ENA

Novel isolates of S.pyogenes and S.dysgalactiae subsp. dysgalactiae associated to NSTI

Project description:Novel genomic isolates of Streptococcus pyogenes and Streptococcus dysgalactiae subsp. dysgalactiae associated to NSTI (necrotising fasciitis)

| PRJEB31389 | ENA

Comparative genomic hybridizations of Mycobacterium avium isolates obtained from multiple host species

Project description:A comparative genomic approach was used to identify large sequence polymorphisms among Mycobacterium avium isolates obtained from a variety of host species. DNA microarrays were used as a platform for comparing mycobacteria field isolates with the sequenced bovine isolate Mycobacterium avium subsp. paratuberculosis (Map) K10. ORFs were classified as present or divergent based on the relative fluorescent intensities of the experimental samples compared to Map K10 DNA. Map isolates cultured from cattle, bison, sheep, goat, avian, and human sources were hybridized to the Map microarray. Three large deletions were observed in the genomes of four Map isolates obtained from sheep and four clusters of ORFs homologous to sequences in the Mycobacterium avium subsp. avium (Maa) 104 genome were identified as being present in these isolates. One of these clusters encodes glycopeptidolipid biosynthesis enzymes. One of the Map sheep isolates had a genome profile similar to a group of Mycobacterium avium subsp. silvaticum (Mas) isolates which included four independent laboratory stocks of the organism traditionally identified as Maa strain 18. Genome diversity in Map appears to be mostly restricted to large sequence polymorphisms that are often associated with mobile genetic elements. Keywords: Comparative genomic hybridization

2007-04-27 | GSE7622 | GEO

Genomic diversity of Escherichia isolates from diverse habitats

Project description:Comparative genomic hybridization between Escherichia coli strains to determine core and pan genome content of clinical and environmental isolates

2012-08-30 | GSE39667 | GEO

Genomic comparisons of Salmonella enterica serovar Paratyphi A isolates

Project description:Comparative genomic analysis of a temporally and locally diverse set of S. enterica ssp I sv Paratyphi A isolates Keywords: ordered

2004-07-21 | GSE1500 | GEO

Genomic comparisons of Salmonella enterica serovar Enteritidis isolates

Project description:Comparative genomic hybridization of a temporally and locally diverse set of S. enterica ssp I serovar Enteritidis isolates, and some closely related serovar Dublin and Gallinarum strains, to the sequenced Enteritidis PT4 Keywords: other

2005-08-06 | GSE2242 | GEO

Comparative Genomic Hybridization of E. coli and Shigella species to determine the relatedness of isolates from Neobladders

Project description:Using comparative genomic hybridization we examined the genome content of 30 isolates of E. coli and Shigella to determine the relative location of E. coli isolates from the human neobladder

2011-07-25 | GSE27326 | GEO

Functional genomic analysis of adult and pediatric brain tumor isolates

Project description:Despite in-depth knowledge of the molecular features and oncogenic drivers associated with adult and pediatric brain tumors, identifying effective targeted therapies for these cancers remains challenging. To identify novel gene dependencies in adult and pediatric brain tumor isolates, we integrated data from functional genomic lethality screens in primary brain tumor isolates with machine learning network models from lethality screens performed in >900 cancer cell lines. Integrated network models revealed molecular and phenotypic features that predict candidate genetic dependencies in multiple brain tumor types, including: atypical teratoid rhabdoid tumors, diffuse intrinsic pontine gliomas, ependymomas, medulloblastomas, and glioblastomas (primary and recurrent). Some examples of dependencies and predictors include: ADAR and MX1 protein expression; EFR3A and low EFR3B expression; FBXO42 and spindle assembly checkpoint activation; FGFR1 and high FGF2 expression; and SMARCC2 in SMARCB1 mutated ATRT tumors. In general, the results demonstrate that large functional genetic data sets can be leveraged to identify, validate, and categorize gene dependencies and their associated biomarkers in primary tumor isolates. The results also highlight some of the challenges and limitations of this approach.

2023-02-07 | GSE213269 | GEO

Comparative genomic hybridizations of Mycobacterium avium isolates obtained from multiple host species

2010-06-11 | E-GEOD-7622 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data