Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,225
datasets available to search
ShareScore release 0.9.0
Dataset results
6,225 results for “expression analysis”
Expression profiles of lncRNAs, miRNAs, and mRNAs and interaction analysis indicate their potential involvement during testicular fusion in Spodoptera litura
GEO Series GSE201953. Spodoptera litura. 9 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Analysis of gene expression in p53-null cell types following deletion of Mdm2
GEO Series GSE98705. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Integrated analysis of long non-coding RNAs expression profiles in tumor and adjacent gastric tissues
GEO Series GSE95667. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by array.
Genome-wide analysis of differential gene expression in MDA-MB-231 cells after GRMI silencing
GEO Series GSE106100. Homo sapiens. 6 samples. Type: Expression profiling by array.
Gene expression analysis of non-clear-cell renal cell carcinoma and clear-cell renal cell carcinoma kidney cancers
GEO Series GSE312695. Homo sapiens. 140 samples. Type: Expression profiling by high throughput sequencing.
Gene expression analysis of 3 MCL and 3 CLL cell lines
GEO Series GSE16412. Homo sapiens. 7 samples. Type: Expression profiling by array.
Global gene expression analysis of Dot1l-deficient and control intestinal villus cells in mouse
GEO Series GSE41710. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
RNA-seq analysis of gene expression profile in Uhrf1 WT and KO germinal center B cells
GEO Series GSE102270. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Large-scale analysis of longitudinal skin gene expression in systemic sclerosis reveals relationships of immune cell and fibroblast activity with skin thickness and a trend towards normalization over
GEO Series GSE181549. Homo sapiens. 339 samples. Type: Expression profiling by array.
Identification of reactive CpGs and RNA expression in early COVID-19 through cis-eQTM analysis reflecting disease severity and recovery [Bisulfite-Seq]
GEO Series GSE301082. Homo sapiens. 192 samples. Type: Methylation profiling by high throughput sequencing.
Gene expression analysis of mouse pancreas carrying Prox1 ectopic acinar expression
GEO Series GSE178174. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Differential gene expression analysis by assessing transcriptome-wide expression variation between tissue specimen of prostate cancer (PCa) and benign prostate hyperplasia (BPH)
GEO Series GSE134073. Homo sapiens. 64 samples. Type: Expression profiling by high throughput sequencing.
Analysis of gene expression in SKOV3 ovarian cancer cells after knockdown of the long non-coding RNA DNM3OS
GEO Series GSE104295. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Expression analysis of Aspergillus nidulans OE::rsmA
GEO Series GSE34220. Aspergillus nidulans; Aspergillus nidulans FGSC A4. 12 samples. Type: Expression profiling by genome tiling array.
RNA-seq analysis identifies differentially expressed genes regulated by LPS exposure on HNEpC cells
GEO Series GSE241554. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Analysis of the effects of unilateral LMAN lesioning on gene expression in birdsong neural circuitry
GEO Series GSE200664. Lonchura striata. 91 samples. Type: Expression profiling by high throughput sequencing.
Analysis of miRNA expression profiles in reactivated neurons from latent PRV infection
GEO Series GSE202138. Rattus norvegicus. 9 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Whole human genome expression analysis on left ventricular free wall heart tissue samples
GEO Series GSE84796. Homo sapiens. 17 samples. Type: Expression profiling by array.
EGCG-treated non-small cell lung cancer associated signature miRNA expression analysis: NGS approach for novel miRNA sequence detection
GEO Series GSE110514. Homo sapiens. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Supplementary data for human Y-chromosome gene expression analysis
<p>Processed data for:</p> <p>AK Godfrey, S Naqvi, L Chmátal, JM Chick, RN Mitchell, SP Gygi, H Skaletsky, DC Page. Quantitative analysis of Y-chromosome gene expression across 36 human tissues. <em>Genome Res</em> (2020).</p> <p>The following six files are provided for reference and for use in future analyses.</p> <p>(1) <strong>gencode.v24.annotation.basic_ccds_nopar.gtf.gz</strong> — transcriptome annotation used in analyses</p> <p>(2) <strong>gtex.ksto.gen24c.prefilt_pass1.genes.est_counts.txt.gz</strong> — genes x samples matrix containing estimated count values output by kallisto for all samples passing initial set of metadata-based filters.</p> <p>(3) <strong>gtex.ksto.gen24c.prefilt_pass1.pcgenes.tpm.txt.gz</strong> — protein-coding genes x samples matrix containing TPM values output by kallisto for all samples passing initial set of metadata-based filters. </p> <p>(4) <strong>gtex.ksto.gen24c.prefilt_pass1.postfilt_pass.pcgenes.tpm.txt.gz </strong>— protein-coding genes x samples matrix containing TPM values output by kallisto for samples passing initial metadata-based filters and expression-outlier filters.</p> <p>(5) <strong>gtex.ksto.gen24c.prefilt_pass1.postfilt_pass.pcgenes.adj_tpm.txt.gz </strong>— protein-coding genes x samples matrix (based on file #4 above) containing TPM values adjusted for RIN, ischemic time, and intronic-read mapping rate.</p> <p>(6) <strong>gtex_metadata_subset.txt</strong> — sample/donor metadata</p> <p>The remaining 24 files contain the input data required to replicate analyses in the manuscript, as detailed at <a href="https://github.com/akg8/MSY-expression">https://github.com/akg8/MSY-expression</a>. HDF5 (`.h5`) files contain individual <a href="https://pandas.pydata.org">pandas</a> DataFrame objects with the key `df`. These files can be downloaded individually, or they can be downloaded all at once by downloading the file <strong>msy_expression.all_input_data.zip </strong>(recommended).</p> <p>---</p> <p><strong>Version history:</strong></p> <ul> <li><strong>Version 1</strong> contained just the six listed files above.</li> <li>In <strong>Version 2</strong>, the remaining 24 files needed for reproducing analyses were added. In addition, gtex_metadata_subset.txt was updated with the previously missing column `SEX`.</li> <li>In <strong>Version 3</strong>, a single zipped file msy_expression.all_input_data.zip was added so that all input data for re-analysis can be downloaded more conveniently.</li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.