NEB-UCSC 5'-cap study data
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB43374 | ENA |
REPOSITORIES: ENA
Similar Datasets
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Project description:UnlabelledTwo new tools on the UCSC Genome Browser web site provide improved ways of combining information from multiple datasets, optionally including the user's own custom track data and/or data from track hubs. The Data Integrator combines columns from multiple data tracks, showing all items from the first track along with overlapping items from the other tracks. The Variant Annotation Integrator is tailored to adding functional annotations to variant calls; it offers a more restricted set of underlying data tracks but adds predictions of each variant's consequences for any overlapping or nearby gene transcript. When available, it optionally adds additional annotations including effect prediction scores from dbNSFP for missense mutations, ENCODE regulatory summary tracks and conservation scores.Availability and implementationThe web tools are freely available at http://genome.ucsc.edu/ and the underlying database is available for download at http://hgdownload.cse.ucsc.edu/ The software (written in C and Javascript) is available from https://genome-store.ucsc.edu/ and is freely available for academic and non-profit usage; commercial users must obtain a license.Contactangie@soe.ucsc.eduSupplementary informationSupplementary data are available at Bioinformatics online.
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Project description:SummaryAs the use of single-cell technologies has grown, so has the need for tools to explore these large, complicated datasets. The UCSC Cell Browser is a tool that allows scientists to visualize gene expression and metadata annotation distribution throughout a single-cell dataset or multiple datasets.Availability and implementationWe provide the UCSC Cell Browser as a free website where scientists can explore a growing collection of single-cell datasets and a freely available python package for scientists to create stable, self-contained visualizations for their own single-cell datasets. Learn more at https://cells.ucsc.edu.Supplementary informationSupplementary data are available at Bioinformatics online.
| S-EPMC8652023 | biostudies-literature
Project description:Microarray analysis was used to evaluate expression differences from a single donor human bone marrow stromal cells (hBMSCs) as a function of varied polymer-based tissue engineering scaffolds. These scaffolds include polycaprolactone (PCL) nanofibers (PCL_NF), films (PCL_SC), poly D,L-lactic acid (PDLLA) nanofibers (PDLLA_NF), films (PDLLA_SC), tissue culture polystyrene (TCPS) and TCPS with osteogenic supplements (TCPS_OS). The results revealed that scaffold structure was able to significantly affect gene expression, with nanofiber scaffolds inducing similar gene expression patterns to hBMCSs cultured with osteogenic media. A library of scaffolds prepared from polycaprolactone or poly D,L-lactic acid was sythesized and cultured with hBMSCs for 14 days with RNA extracted from cells on Day 1 and Day 14. Gene expression analysis was performed using BRB ArrayTools. SC = spun coat, BNF = big nanofiber, TCPS = tissue culture polystyrene, TCPS+OS = tissue culture polystyrene with osteogenic supplements. This data forms is part of a pending publication: Baker et al. Ontology Analysis of Global Gene Expression Differences of Human Bone Marrow Stromal Cells Cultured on 3D Scaffolds or 2D Films and is a subset of the 72 array data referenced in ( Kumar et al. The determination of stem cell fate by 3D scaffold structures through the control of cell shape, Biomaterials (2011) 32, 9188-9196.) The 72 array data set is submitted separately to GEO as GSE50743.
2013-11-01 | E-GEOD-50744 | biostudies-arrayexpress
Project description:The Encyclopedia of DNA Elements (ENCODE) project is an international consortium of investigators funded to analyze the human genome with the goal of producing a comprehensive catalog of functional elements. The ENCODE Data Coordination Center at The University of California, Santa Cruz (UCSC) is the primary repository for experimental results generated by ENCODE investigators. These results are captured in the UCSC Genome Bioinformatics database and download server for visualization and data mining via the UCSC Genome Browser and companion tools (Rhead et al. The UCSC Genome Browser Database: update 2010, in this issue). The ENCODE web portal at UCSC (http://encodeproject.org or http://genome.ucsc.edu/ENCODE) provides information about the ENCODE data and convenient links for access.
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Project description:Eukaryotic genes often generate a variety of RNA isoforms that can lead to functionally distinct protein variants. The synthesis and stability of RNA isoforms is however poorly characterized. The reason for this is that current methods to quantify RNA metabolism use short-read sequencing that cannot detect RNA isoforms. Here we present nanopore sequencing-based Isoform Dynamics (nano-ID), a method that detects newly synthesized RNA isoforms and monitors isoform metabolism. nano-ID combines metabolic RNA labeling, long-read nanopore sequencing of native RNA molecules and machine learning. nano-ID derived RNA stability estimates enable a distinctive evaluation of stability determining factors such as sequence, poly(A)-tail length, RNA secondary structure, translation efficiency and RNA binding proteins. Application of nano-ID to the heat shock response in human cells reveals that many RNA isoforms change their stability. nano-ID also shows that the metabolism of individual RNA isoforms differs strongly from that estimated for the combined RNA signal at a specific gene locus. nano-ID enables studies of RNA metabolism on the level of single RNA molecules and isoforms in different cell states and conditions.
2020-05-06 | GSE127890 | GEO
Project description:The Encyclopedia of DNA Elements (ENCODE), http://encodeproject.org, has completed its fifth year of scientific collaboration to create a comprehensive catalog of functional elements in the human genome, and its third year of investigations in the mouse genome. Since the last report in this journal, the ENCODE human data repertoire has grown by 898 new experiments (totaling 2886), accompanied by a major integrative analysis. In the mouse genome, results from 404 new experiments became available this year, increasing the total to 583, collected during the course of the project. The University of California, Santa Cruz, makes this data available on the public Genome Browser http://genome.ucsc.edu for visual browsing and data mining. Download of raw and processed data files are all supported. The ENCODE portal provides specialized tools and information about the ENCODE data sets.
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Project description:Using a public reference data set of 82 unique entities, 382 nanopore-sequenced brain tumor samples were classified based on their methylation status through an ad hoc random forest algorithm. As a measure of confidence, score recalibration was performed and platform-specific thresholds were defined.
2022-07-30 | GSE209865 | GEO