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167
datasets available to search
ShareScore release 0.9.0
Dataset results
167 results for “coding sequences”
Deep sequencing analysis of small non-coding RNAs reveals the diversity of microRNAs and piRNAs in the human epididymis.
GEO Series GSE33966. Homo sapiens. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Single cell RNA sequencing of nc886, a non-coding RNA transcribed by RNA polymerase III, with a primer spike-in strategy
GEO Series GSE269878. Homo sapiens. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Learning the sequence code for mRNA and protein abundance in human immune cells [SONAR_MPRA]
GEO Series GSE291719. Homo sapiens. 27 samples. Type: Other.
Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases
GEO Series GSE236241. Homo sapiens. 22 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Learning the sequence code for mRNA and protein abundance in human immune cells
GEO Series GSE240919. Homo sapiens. 24 samples. Type: Other.
Long Non-Coding RNA and mRNA profiling using High-throughput RNA sequencing in pseudorabies virus type II infected cells
GEO Series GSE134133. Sus scrofa. 9 samples. Type: Expression profiling by high throughput sequencing; Other.
RNA Deep Sequencing Reveals Expression Patterns of Long Non-coding RNAs during Swine Ovary Development
GEO Series GSE72115. Sus scrofa. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
GC-rich coding sequences reduce transposon-like sRNA-mediated transgene silencing in Arabidopsis and maize
GEO Series GSE103037. Zea mays. 27 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Large-scale genomic alterations identified in cancer patients on the course of cancer recovery with complementary Huaier treatment identified by total RNA- and small non-coding RNA-sequencing.
GEO Series GSE157086. Homo sapiens. 184 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Global analysis of non-coding small RNAs in Arabidopsis in response to jasmonate treatment by deep sequencing technology
GEO Series GSE34497. Arabidopsis thaliana. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Next generation sequencing of long non-coding RNAs in diabetes mellitus rats after sleeve gastrectomy
GEO Series GSE162018. Rattus norvegicus. 10 samples. Type: Non-coding RNA profiling by high throughput sequencing.
GC-rich coding sequences reduce transposon-like sRNA-mediated transgene silencing in Arabidopsis and maize
GEO Series GSE103112. Zea mays; Arabidopsis thaliana. 76 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Characterization of long non-coding RNA profile in RD and SH-SY5Y cells infected by CV-B5 using RNA sequencing
GEO Series GSE180816. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
RNA-sequencing analysis of aberrantly expressed long non-coding RNAs and mRNAs in a mouse model of ventilator-induced lung injury
GEO Series GSE114132. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Model-driven design of synthetic N-terminal coding sequences for fine-tuning gene expression in yeast and bacteria
GEO Series GSE186378. Bacillus subtilis; Saccharomyces cerevisiae. 4 samples. Type: Other.
The human CCHC-type Zinc Finger nucleic acid binding protein binds G-rich elements in target mRNA coding sequences initiation promotes translation.
GEO Series GSE93053. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Other.
Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases [ChIP-seq]
GEO Series GSE236240. Homo sapiens. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The human CCHC-type Zinc Finger nucleic acid binding protein binds G-rich elements in target mRNA coding sequences initiation promotes translation (RNA-Seq).
GEO Series GSE93051. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
non-coding RNA sequencing of upland cotton fiber and ovule
GEO Series GSE37125. Gossypium hirsutum. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
RNA sequencing of circular RNAs, long non-coding RNAs ,and mRNAs in human keloid dermal tissues
GEO Series GSE212954. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
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.