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193 results for “trait analysis”

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geo20/100

DEFINING A RAT BLOOD PRESSURE QUANTITATIVE TRAIT LOCUS TO A <81.8KB CONGENIC SEGMENT: COMPREHENSIVE SEQUENCING AND RENAL TRANSCRIPTOME ANALYSIS.

GEO Series GSE22515. Rattus norvegicus. 6 samples. Type: Expression profiling by array.

openGEO-OpenJul 2010View details →
geo20/100

Genetic Analysis of Human Traits In-Vitro: Drug Response and Gene Expression in Lymphoblastoid Cell Lines

GEO Series GSE11582. Homo sapiens; Pan troglodytes. 374 samples. Type: Expression profiling by array.

openGEO-OpenMay 2008View details →
geo20/100

Functional genomic and transcriptomic analysis of amphioxus and the origin of vertebrate genomic traits [4C-seq]

GEO Series GSE115945. Danio rerio. 83 samples. Type: Other.

openGEO-OpenAug 2018View details →
geo20/100

Bulk RNAseq analysis reveals distinct differentiation traits of COMMD10-deficient Ly6Chi monocytes in the injured liver

GEO Series GSE183494. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo16/100

Physiological traits assessment and RNAseq data analysis revealed a high vulnerability of Setaria viridis to salt compared to its close relative Spartina alterniflora

GEO Series GSE146718. Sporobolus alterniflorus; Setaria viridis. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2022View details →
geo16/100

Validation studies and multi-omics analysis of Zhx2 as a candidate quantitative trait gene underlying brain oxycodone metabolite (oxymorphone) levels and behavior

GEO Series GSE275965. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2024View details →
geo16/100

Genome-wide expression quantitative trait loci (eQTL) analysis in maize

GEO Series GSE29964. Zea mays. 248 samples. Type: Expression profiling by array.

openGEO-OpenJun 2011View details →
geo16/100

RNA-Seq Analysis of transcriptome network effects of dual-trait selection for ethanol preference and withdrawal using SOT and NOT genetic models

GEO Series GSE140567. Mus musculus. 84 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2019View details →
geo16/100

Cell and state-specific eQTL analysis in human endometrial mesenchymal cells uncovers candidate susceptibility genes for reproductive diseases and traits

GEO Series GSE251756. Homo sapiens. 59 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2024View details →
zenodo16/100

Supplementary tables of Causal relationship between gut microbiota, blood metabolites, immune cell traits, inflammatory proteins, and cataract: a two-sample, bidirectional mendelian randomization analysis

<p><span>Table S1: The information of GWAS data for gut microbiota; Table S2: The information of GWAS data for blood metabolites and metabolite ratios; Table S3: The information of GWAS data for immune cell traits; Table S4: The information of GWAS data for circulating inflammatory proteins; Table S5: The results of casual effects and sensitive analysis of identified gut microbiota on cataract; Table S6: The results of casual effects and sensitive analysis of identified blood metabolites and metabolite ratios on cataract; Table S7: The results of casual effects and sensitive analysis of identified immune cell traits on cataract; Table S8: The results of casual effects and sensitive analysis of identified circulating inflammatory proteins on cataract; Table S9: The significant casual effects of two-sample MR analysis in mediation analysis; Table S10: The consistent effect sizes of exposure-outcome, exposure-mediator, and mediator-outcome; Table S11: The results of preliminary MVMR in mediation analysis; Table S12: The results of subsequent MVMR in mediation analysis; Table S13: The results of significant casual effects of cataract on gut microbiota, blood metabolites and metabolite ratios, and circulating inflammatory proteins; Table S14: The genes identified from the causal SNPs using MAGMA; Table S15: The results of functional enrichment analysis of the genes identified from the causal SNPs.</span></p>

restrictedcc-by-4.0Sep 2024View details →
zenodo12/100

Genomic analysis of 1,325 Camellia accessions sheds light on agronomic and metabolic traits for tea plant improvement

<p>Leaf shape traits and metabolomic traits data for GWAS analysis</p>

restrictedcc-by-4.0Dec 2024View details →
zenodo12/100

Date from: Global analysis of trait-trait relationships within and between species

<ul> <li>Some robust trait-trait relationships between species, including the leaf economic spectrum (LES), are regarded as important plant strategies but whether these relationships truly represent plant strategies remains unclear.</li> <li>We propose a novel approach to distinguish trait-trait relationships between species that may represent plant strategies&nbsp;<em>vs.&nbsp;</em>those relationships that are due to common drivers, by comparing the direction and strength of intraspecific trait variation (ITV)&nbsp;<em>vs</em>. interspecific trait variation. We applied this framework using a unique global ITV database we compiled, which included eleven traits related to LES, size and roots, and observations from 2064 species occurring in 1068 communities across 19 countries.</li> <li>Generally, compared to between species, trait-trait relationships within species were much weaker or totally disappeared. Almost only within the LES traits, the between-species trait-trait relationships were translated into positive relationships within-species, which suggests they may represent plant strategies.</li> <li>Moreover, the frequent coincidental trait-trait relationships between species, driven by co-varying common drivers, imply that in future research, decoupling of trait-trait relationships should be seriously considered in model projections of ecosystem functioning. Our study emphasises the importance of describing the mechanisms behind trait-trait relationships, both between and within species, to deepen our understanding of general plant strategies.</li> </ul>

embargoedlgpl-2.1-or-laterNov 2021View details →
geo12/100

Identification of clinical trait–related small RNA biomarkers with weighted gene co-expression network analysis for personalized medicine in endocervical adenocarcinoma

GEO Series GSE176579. Homo sapiens. 14 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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