Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The genetic variations and population structure of Euphrasia nankotaizanensis

ABSTRACT: The effect of the geographic isolation on genetic variations and population structure of Euphrasia nankotaizanensis, an endemic and threatened alpine herb in Taiwan

PROVIDER: PRJEB46906 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

The genetic variations and population structure of Euphrasia nankotaizanensis

Project description:The effect of the geographic isolation on genetic variations and population structure of Euphrasia nankotaizanensis, an endemic and threatened alpine herb in Taiwan

| PRJEB46902 | ENA

The genetic variations and population structure of Euphrasia nankotaizanensis

Project description:The effect of the geographic isolation on genetic variations and population structure of Euphrasia nankotaizanensis, an endemic and threatened alpine herb in Taiwan

| PRJEB46905 | ENA

Euphrasia

Project description:Euphrasia adaptation and speciation

| PRJNA624746 | ENA

Euphrasia regelii

Project description:Euphrasia regelii overview

| PRJNA591242 | ENA

Euphrasia confusa

Project description:Euphrasia confusa overview

| PRJNA985355 | ENA

Euphrasia regelii

Project description:Euphrasia regelii Raw sequence reads

| PRJNA506538 | ENA

Euphrasia pectinata

Project description:Euphrasia pectinata Raw sequence reads

| PRJNA506490 | ENA

Euphrasia phylogeny

Project description:Phylogenetic analysis of the genus Euphrasia

| PRJEB48935 | ENA

The Microbial Gene Diversity along an Elevation Gradient of the Tibetan alpine meadow

Project description:Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, aiming to explore potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C cycling genes, but they were in line with the functional roles of these genes. sixty-three samples were collected from four elevations (3200,3400,3600 and 3800 m) along a Tibetan alpine meadow; Three replicates in each treatment

2013-11-16 | E-GEOD-52425 | biostudies-arrayexpress

Molecular Basis for Variations in Hereditary Colorectal Cancer Syndromes

Project description:Objectives: 1. To examine the variations in clinical features, survival outcomes, family history, and health behavior among proband patients who are known or suspected to have a hereditary colorectal cancer syndrome 2. To compare the clinical features, survival outcomes, and health behavior of the proband vs. his/her family members who may or may not be affected by the hereditary colorectal cancer syndrome 3. To explore for correlations between germline genetic variations in both the probands and family members with observed variations in the overall disease phenotype across probands and kindreds, within a given syndrome. Disease phenotype is defined to include: (1) clinicopathologic features including patient demographics and oncologic outcomes; (2) clinical manifestations of disease including the timing, spectrum and severity of CRC and extracolonic cancers. Genetic variations may include the specific codon mutated, the type of mutation and sequence alteration (e.g. nonsense, missense etc), chromosomal/gene copy number changes, and gene polymorphisms. 4. To explore for correlations between germline genetic variations in both the probands and family members with observed variations in somatic CRC tumor biology, including tumor pathology and other tumor molecular markers

| 2222117 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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