Sentences with phrase «single cell data»

New computational strategies are supported by our single cell data analysis experts with computational methods deconvolute tissue composition, determine cell type heterogeneity, identify novel cell type defining markers or track transcriptional dynamics.

If human cells are sorted together mouse cells, the data will have heterogenous expression patterns as single cell data does, only with human genes rather than mouse genes.

Not exact matches

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Some also offer the technique as a service, taking customers» vials of cells and returning complete single - cell RNA sequence data.

10x's software includes not only the basic functions required to deconvolute the single - cell data, but also a suite of tools for analysis and visualization.

«We now have a model that incorporates this seemingly contradictory data and points to a single and simple process for condensed chromosome organization across all cell types.

The new platform processes hundreds to tens of thousands of cells per day, providing scalable, sensitive, single - cell sequencing with simple yet powerful data analysis.

He also recommends performing standard bulk - cell sequencing on a portion of the sample, to provide a basis for comparison with the single - cell DNA data.

They elaborate on several focus areas described by the White House earlier: preventive vaccines, early detection, single cancer cell genomics, immunotherapy, pediatric cancer, and data sharing.

Co-first author Alice Eunjung Lee, PhD, from the lab of Peter Park, PhD, at the Center for Biomedical Informatics at Harvard Medical School, developed the study's retrotransposon analysis tool, which detects somatic retrotransposon mutations in single - cell sequencing data.

The data come from deep - sea sediment cores dating to 205 million years ago that contain inorganic carbon - rich minerals as well as the organic remains of single celled marine phytoplankton.

Single cell RNA sequencing can define cell types by revealing differences in the proteins produced by individual cells, however analysing the data remains challenging.

Reported in Nature Methods today, the new open source computer tool called Single Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers tSingle Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers to Cell Consensus Clustering (SC3) was shown to be more accurate and robust than existing methods of analysing single - cell RNA sequence data, and is freely available for researchers tsingle - cell RNA sequence data, and is freely available for researchers to cell RNA sequence data, and is freely available for researchers to use.

The SC3 tool was then used to analyse single - cell RNA - sequence data from two patients diagnosed with myeloproliferative neoplasm (MPN) blood cancers.

Dr Vladimir Yu Kiselev, first author from the Sanger Institute, said «We created the new SC3 tool to analyse complex single - cell RNA - sequence data, and showed that it is more robust and accurate than existing methods at grouping cells.

Dr Martin Hemberg, lead author on the paper from the Wellcome Trust Sanger Institute, said: «It has been difficult to fully exploit single - cell RNA - sequence data due to the current lack of computational methods for analysing them.

A network of underwater cameras Rapid image capturing of microscopic organisms, such as single - celled protozoa, are adding to the collection of data that researchers are now using to create a picture of the sea change.

Additional problems cropped up in March, however, when New Scientist reported that a single image had appeared three different times in data from Verfaillie's lab — once referring to bone and once to cartilage in a 2001 Blood paper about human MAPCs, and once again to describe bone cells in a 2006 patent application.

Using the wild data, the researchers then created experimental conditions in the lab with single tuna heart cells to see how they would respond.

But researchers have begun to push the technique so that they can harvest the data from single cells.

HM - SNS allows researchers to sequence the genomes of single tumor cells and study multiple cells simultaneously, both lowering the cost and boosting data analysis for such studies.

In addition, NIH - funded researchers who generate full genome sequence data from HeLa cells will be expected to deposit their data into a single database for future sharing through this process.

Developed by MD Anderson researchers, Monovar allows scientists to examine data from multiple single cells.

«This approach for data integration will enable the comparison of single - cell datasets and the ability to dissect the differences between them,» explains Rahul Satija, the study's senior author, who is an assistant professor in NYU's Center for Genomics and Systems Biology and a core faculty member at the New York Genome Center.

Systems Biology and Genomics, including systems neurobiology, quantitative cell biology, cellular dynamics, algorithms, methods and technology development, data integration and visualization, imaging, synthetic biology, deep learning applied to biology and human health, and single cell biology.

But these imaging data are represented in completely different formats, and there's no way to switch between the two: once scientists zoom in to the level of single cells, they can not pan out again to see those cells in the context of the whole brain.

The assembly and analysis of human tumor cell genomes, many of which contain chromosome deletions, duplications and insertions, as well as single nucleotide changes, requires immense data storage capacity and high - speed computation.

Korenberg's team is developing a 3D coordinate system to align various types of neuroimaging data in the macaque brain, from whole - brain MRI connectivity to single - cell confocal data and, for some areas, subcellular resolution with electron microscopy.

The scientists used diffusion maps — a basic way to order snapshots of single cells along their developmental journey — but they plan to study developmental trajectories using a new algorithm called Wishbone, which uses single - cell RNA sequencing and mass cytometry data to specifically model branching steps during cell differentiation (Nat Biotechnol, 34:637 - 45, 2016).

3D modeling of chromatin structure: is there a way to integrate and reconcile single cell and population experimental data?

Two additional panels will be established allowing more than 60 different immune markers to be monitored at the single - cell level, followed by data analysis using SB tools available at CEA.

Most data types for the Human Cell Atlas will require some processing to support the majority of downstream use cases (e.g. alignment and demultiplexing for single - cell RNA sequencing, detection and segmentation for image - based transcriptomiCell Atlas will require some processing to support the majority of downstream use cases (e.g. alignment and demultiplexing for single - cell RNA sequencing, detection and segmentation for image - based transcriptomicell RNA sequencing, detection and segmentation for image - based transcriptomics).

This facility enables labs within and outside of the Hubrecht Institute that lack the know - how and equipment to support their research with single cell transcriptome data.

Bethesda, USA (2016 - present) Research areas: Super-resolution microscopy, single - molecule imaging, gene expression, computational modeling and data analysis This section includes all projects during my postdoctoral research stay at the National Institutes of Health in Bethesda, MD (Unites States): (9) Understanding gene expression in eukaryotic cells»

«A single dose of D+Q (D: 5 mg kg − 1 body weight and Q: 50 mg kg − 1 by oral gavage here and in the following studies), a drug ratio that was most effective in senescent MEFs (data not shown), reduced SA - βgal + cells (Fig.

Multi-dimensional functional data were generated and analyzed through cutting - edge techniques, such as CyTOF, single - cell RNAseq, and high - content imaging.

«These extensions complement the MIxS suite of metadata standards by defining the key data elements pertinent for describing the sampling and sequencing of single - cell genomes and genomes from metagenomes,» said GSC President and study co-author Lynn Schriml of the Institute of Genome Sciences at University of Maryland School of Medicine.

«Starting 2007, the first single - cell genomes from environmental cells appeared in public databases and they are draft assemblies with fluctuations in the data quality.

Further research topics are statistical / computational methods to study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic single cell tracking).

These data demonstrate that the Cellartis iPSC CRISPR / Cas9 Gesicle and Single - Cell Cloning System enables highly efficient survival of single hiPS Single - Cell Cloning System enables highly efficient survival of single hiPS single hiPS cells.

In addition, the data showed that the gut's hormone - producing enteroendocrine cells (EECs)-- long divided into subsets based on the idea that each only expressed a single hormone — can actually express multiple hormones at once.

Thus, these data show that the Cellartis iPSC CRISPR / Cas9 Gesicle and Single - Cell Cloning System effectively edits and expands single - cell hiPS cell clones without introducing karyotypic abnormalSingle - Cell Cloning System effectively edits and expands single - cell hiPS cell clones without introducing karyotypic abnormalitCell Cloning System effectively edits and expands single - cell hiPS cell clones without introducing karyotypic abnormalsingle - cell hiPS cell clones without introducing karyotypic abnormalitcell hiPS cell clones without introducing karyotypic abnormalitcell clones without introducing karyotypic abnormalities.

Since most data to date has been collected from post-mortem samples, the preferential usage of a single major isoform in living cells may be even more prevalent than previously reported.

The data simply looked spectacular», says Thijs Ettema, Faculty at SciLifeLab and Facility manager at the Microbial Single Cell Genomics facility, who lead the scientific team that carried out the study.

Selected antibodies are applied to test - sections containing brain regions or cell types with known expression based on in situ hybridization (Allen Brain Atlas) and single cell RNAseq data (Linnarsson Lab and Barres Lab).

Today we announced the launch of the GridION X5, a new system that can drive up to five MinION Flow Cells and process all the data produced within a single benchtop device.

Mass - cytometry provides state - of - the art single cell proteomics, including extensive data analysis as a support for this novel and complicated technology.

For a systems - level understanding of all crucial protein interactions during cell division, we are combining automated single molecule calibrated imaging and computational data analysis with advanced machine learning and modelling approaches to build an integrated protein atlas of the human dividing cell.

As the team demonstrated in their January paper, scientists can use the technology to see huge amounts of data from a single cell and large - scale data patterns across cells, all in a single experiment.

Alexander van Oudenaarden is one of the pioneers of single cell RNA - sequencing and his lab has developed several bio-informatics tools to analyze these data in detail.