Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Genotyping]

ABSTRACT: BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Genotyping]

PROVIDER: PRJNA540229 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis

Project description:BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis

| PRJNA421186 | ENA

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Differentiation]

Project description:BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Differentiation]

| PRJNA540230 | ENA

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Pluripotency]

Project description:BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Pluripotency]

| PRJNA540231 | ENA

A generic, cost-effective and scalable cell lineage analysis platform

Project description:A generic, cost-effective and scalable cell lineage analysis platform

| PRJEB13000 | ENA

A generic, cost-effective and scalable cell lineage analysis platform

Project description:Advances in single-cell genomics enable commensurate improvements in methods for uncovering lineage relations among individual cells. Current sequencing based methods for cell lineage analysis depend on low resolution bulk analysis or rely on extensive single cell sequencing which is not scalable and could be biased by functional dependencies. Here we show an integrated biochemical-computational platform for generic single-cell lineage analysis that is retrospective, cost-effective and scalable. It consists of a biochemical-computational pipeline that inputs individual cells, produces targeted single-cell sequencing data and uses it to generate a lineage tree of the input cells. We validated the platform by applying it to cells sampled from an ex vivo grown tree and analyzed its feasibility landscape by computer simulations. We conclude that the platform may serve as a generic tool for lineage analysis and thus pave the way towards large-scale human cell lineage discovery.

2016-04-18 | E-MTAB-4553 | biostudies-arrayexpress

Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion

Project description:Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion

| PRJNA631775 | ENA

BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single cell analysis [Genotyping]

Project description:We describe a novel workflow named Barcode Assembly foR Targeted Sequencing, which is a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts (rBART-Seq) or genomic regions (gBART-Seq) from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, for generating amplicons with dual indices. Here, we used the gBART-Seq for genetic screening of breast cancer patients and identified BRCA mutations with very high precision.

2019-07-07 | GSE130421 | GEO

Well-ST-seq: cost-effective and cellular level spatial transcriptomics with high RNA capture efficiency

Project description:Here, we developed spatially cellular-level RNA-capture probe arrays using miniaturized microfluidic and microarray technologies. By leveraging the predetermined and cost-effective probe fixation characteristics of this methodology, we significantly reduced the consumable cost of the probe array to $0.31/mm2 and fabrication time to approximately 2 hours. Furthermore, the fabrication process does not rely on large precision instruments. Notably, the efficiency of the transcript captured by the probe array is even comparable to conventional single-cell RNA sequencing. Based on this technology, we successfully mapped the transcriptome atlas and gained insights into spatial cell heterogeneity of the mouse hippocampus.

2024-05-01 | GSE247834 | GEO

A cost effective single cell RNA sequencing approach for the Fluidigm C1

Project description:A cost effective single cell RNA sequencing approach for the Fluidigm C1

| PRJNA315001 | ENA

A Cost-effective Method of Mate-pair Library Construction with Controlled Polymerization

Project description:A Cost-effective Method of Mate-pair Library Construction with Controlled Polymerization

| PRJEB28073 | ENA