Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pig transcriptome and gene expression atlas

ABSTRACT: RNA sequencing of pig tissues for transcriptome annotation and expression analysis. Tissue specific RNA-seq data was generated to support annotation of coding and non-coding genes and to measure tissue specific expression. This study is part of the FAANG project, promoting rapid prepublication of data to support the research community. These data are released under Fort Lauderdale principles, as confirmed in the Toronto Statement (Toronto International Data Release Workshop. Birney et al. 2009. Pre-publication data sharing. Nature 461:168-170). Any use of this dataset must abide by the FAANG data sharing principles. Data producers reserve the right to make the first publication of a global analysis of this data. If you are unsure if you are allowed to publish on this dataset, please contact alan.archibald@roslin.ed.ac.uk, lel.eory@roslin.ed.ac.uk and faang@iastate.edu to enquire. The full guidelines can be found at http://www.faang.org/data-share-principle”.

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Sus scrofa

SUBMITTER: Lel Eory

PROVIDER: E-MTAB-5895 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

test

Project description:workshop

| PRJEB7278 | ENA

Trichuris muris transcriptomics

Project description:Trichuris muris is very closely related to the human parasite T. trichiura sharing cross reactive antigens. Moreover, it is a remarkably tractable model system for dissecting immune responses and host parasite relationships and is actively being investigated in a number of laboratories worldwide. T. muris is a naturally occurring nematode parasite of mice which resides in the caecum and colon and has a direct oral faecal life cycle. High-throughput sequencing of Trichuris muris transcriptome for de novo assembly of transcripts. The main objective of this project is to recognize genes expressed in given life stages. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

2013-05-28 | E-ERAD-125 | biostudies-arrayexpress

Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.

Project description:Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures. These data support the publication titled "Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.". Some of the calculations in the publication were derived from an older version of the data available at http://www.iconixpharm.com Copyright (c) 2005 by Iconix Pharmaceuticals, Inc. Guidelines for commercial use: http://www.iconixbiosciences.com/guidelineCommUse.pdf Keywords: other

2005-05-01 | GSE2187 | GEO

Cancer: Thriving and Surviving Online Workshop and Study for Cancer Survivors

Project description:Cancer: Surviving and Thriving is a 6-week workshop for cancer survivors. The overall goal of the study is to determine whether an online cancer survivor education and support workshop can have lasting beneficial effects in helping survivors improve their self-management of health skills and quality of life.

| 2076916 | ecrin-mdr-crc

Complement factor B is critical for sub-RPE deposit formation in the Efemp1 R345W mutant mouse model with features of age-related macular degeneration

Project description:This dataset represent supplemental data for publication submitted to Human Molecular Genetics in 2022. Briefly, Efemp1 R345W is a protein misfolding-prone mutation in humans causing Doyne honeycomb retinal dystrophy/Mallatia Leventinese (DHRD/ML), a disease sharing similar clinical pathology with age-related macular degeneration (AMD). Efemp1R345W/R345W knock-in mice (Efemp1ki/ki mice) develop deposits on the basal side of retinal pigment epithelial (RPE) cells, which is complement C3- dependent. We assessed alternative complement pathway component factor B (Cfb) in sub-RPE deposit formation in Efemp1ki/ki mice.

2023-03-11 | PXD035772 | Pride

Creating a Reliable Mass Spectral–Retention Time Library for All Ion Fragmentation-Based Metabolomics

Project description:<p>Accurate metabolite identification remains one of the primary challenges in a metabolomics study. A reliable chemical spectral library increases the confidence in annotation, and the availability of raw and annotated data in public databases facilitates the transfer of Liquid chromatography coupled to mass spectrometry (LC–MS) methods across laboratories. Here, we illustrate how the combination of MS2 spectra, accurate mass, and retention time can improve the confidence of annotation and provide techniques to create a reliable library for all ion fragmentation (AIF) data with a focus on the characterization of the retention time. The resulting spectral library incorporates information on adducts and in-source fragmentation in AIF data, while noise peaks are effectively minimized through multiple deconvolution processes. We also report the development of the Mass Spectral LIbrary MAnager (MS-LIMA) tool to accelerate library sharing and transfer across laboratories. This library construction strategy improves the confidence in annotation for AIF data in LC–MS-based metabolomics and will facilitate the sharing of retention time and mass spectral data in the metabolomics community.</p>

2019-10-30 | MTBLS1040 | MetaboLights

CREST-E dbGaP Data Sharing

Project description:CREST-E dbGaP Data Sharing

| PRJNA419023 | ENA

CREST-E dbGaP Data Sharing

Project description:CREST-E dbGaP Data Sharing

| PRJNA419024 | ENA

metagenomic study test

Project description:Metagenomic workshop submission

| PRJEB11429 | ENA

Classification of a large micro-array dataset. Algorithm comparison and analysis of drug signatures.

2005-05-01 | E-GEOD-2187 | biostudies-arrayexpress