Undefined
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB58203 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Metagenome-assembled metagenomes (MAGs) of bacteria from the Arctic Ocean
| PRJEB64305 | ENA
Project description:Tracking of mycoviruses in public RNAseq datasets of Malassezia : six new Totiviruses revealed.
| PRJEB62036 | ENA
Project description:MAGs of the phylum Chloroflexota, reconstructed from public metagenome datasets Metagenome
| PRJNA970559 | ENA
Project description:The Ivy Glioblastoma Atlas Project (Ivy GAP) is a detailed anatomically based transcriptomic atlas of human glioblastoma tumors. As collaborators, the Ivy Foundation funded the Allen Institute and the Swedish Neuroscience Institute to design and create the atlas. The Paul G. Allen Family Foundation also supported the project. This resource consists of a viewer interface that resolves the manually- and machine-annotated histologic images (H&E and RNA in situ hybridization) at 0.5 µm/pixel, a transcriptome browser to view and mine the anatomically-based RNA-Seq samples, an application programming interface, help documentation that describes the methods and how to use the resource, as well as SNP array data and the supporting longitudinal clinical information and MRI time course data. The resource is made available to the public without charge as part of the Ivy GAP (http://glioblastoma.alleninstitute.org/) via the Allen Institute data portal (http://www.brain-map.org), the Ivy GAP Clinical and Genomic Database (http://ivygap.org/) via the Swedish Neuroscience Institute (http://www.swedish.org/services/neuroscience-institute), and The Cancer Imaging Archive (https://wiki.cancerimagingarchive.net/display/Public/Ivy+GAP). The Ivy GAP processed data at GEO includes normalized RNA-Seq FPKM files used for analysis in "An anatomic transcriptional atlas of glioblastoma,” which is under review. Other processed data files as well as sample and donor meta-data and QC metrics are available at http://glioblastoma.alleninstitute.org/static/download.html. The raw RNA-Seq and SNP array data will be submitted to dbGaP.
2017-12-01 | GSE107558 | GEO
Project description:This paper presents a teleoperation system of robot grasping for undefined objects based on a real-time EEG (Electroencephalography) measurement and shared autonomy. When grasping an undefined object in an unstructured environment, real-time human decision is necessary since fully autonomous grasping may not handle uncertain situations. The proposed system allows involvement of a wide range of human decisions throughout the entire grasping procedure, including 3D movement of the gripper, selecting proper grasping posture, and adjusting the amount of grip force. These multiple decision-making procedures of the human operator have been implemented with six flickering blocks for steady-state visually evoked potentials (SSVEP) by dividing the grasping task into predefined substeps. Each substep consists of approaching the object, selecting posture and grip force, grasping, transporting to the desired position, and releasing. The graphical user interface (GUI) displays the current substep and simple symbols beside each flickering block for quick understanding. The tele-grasping of various objects by using real-time human decisions of selecting among four possible postures and three levels of grip force has been demonstrated. This system can be adapted to other sequential EEG-controlled teleoperation tasks that require complex human decisions.
| S-EPMC10770246 | biostudies-literature
Project description:MicroRNAs (miRNAs) are small RNAs of ~22 nucleotides in length that are involved in the regulation of a variety of physiological and pathological processes. Advances in high-throughput small RNA sequencing (smRNA-seq), one of the next generation sequencing applications, have reshaped the miRNA research landscape. In this study, we established an integrative database containing analysis pipelines and analysis results of 609 human and mice smRNA-seq results, including public data from GEO and private ones. YM500 collects analysis results for miRNA quantification, for isomiR identification (incl. RNA editing), for arm switching discovery, and, more importantly, for novel miRNA predictions. Wetlab validation on >100 miRNAs confirmed high correlation between miRNA profiling and RT-qPCR results (R=0.84). This database allows researchers to search these 4 different types of analysis results via our interactive web interface. YM500 allows researchers to define the criteria of isomiRs, as well as integrates the information of dbSNP to help researchers to distinguish isomiRs from SNPs. A user-friendly interface is provided to integrate miRNA-related information and existing evidences from hundreds of sequencing datasets. The identified novel miRNAs and isomiRs hold the potentials for both basic research and biotech applications. YM500 is now available on http://ngs.ym.edu.tw/ym500/.
2012-12-03 | GSE39841 | GEO
Project description:<p>Study to evaluate the molecular genetics of ccRCC through integrative analyses of tumors and tumorgrafts using multiple platforms in clinically annotated samples. Genome and exome data for patients giving consent to have the information available on a public, secure, database is being submitted.</p>
| phs000491.v1.p1 | EGA