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Structural variants identified by Oxford Nanopore PromethION sequencing of the human genome
Aug 16, 2019
The BluePippin was used for High Pass DNA size selection prior to library construction. ONT Promethion was used for...
Fluxion Biosciences launches custom liquid biopsy NGS panel development
Aug 14, 2019
Fluxion a leading developer of precision solutions for life science research and diagnostics, announced that can...
Superior flow cytometry data with NEW Curiox Laminar Wash systems - centrifuge - less washing
Aug 12, 2019
The Laminar Wash technology provides an advantage to scientists in processing suspension cells for flow cytometry....
Electroporation using Lumascope: A sustainable method for Adipogenous Mesenchymal Stem Cells
Aug 7, 2019
Human mesenchymal stem cells derived from adipose tissue (AD-hMSCs) represent a promising source for tissue engineering...
The best way to fragment DNA for genomic and paired end library construction
Aug 5, 2019
Digilab NextGen Shear DNA Shearing offers the simplest, most reproducible, and most controllable method available for...
Software Update: Bionano releases a new pipeline for low Aalelic fraction SVs
Jul 31, 2019
Bionano Solve v3.4 is a major update that introduces an entirely new pipeline to detect SVs at low allelic fraction and...
On-cartridge preparation and evaluation of 68Ga-, 89Zr- and 64Cu-precursors for cell radiolabelling
Jul 29, 2019
Method of on-cartridge formation of gallium-68, zirconium-89 and copper-64 complexes in small volumes suitable for cell...
Identify the quality of any protein in 3 minutes using microliters of sample with Tycho
Jul 19, 2019
Tycho tells you so much about the quality of your protein. It tells you about presence, purity, concentration,...
Feb 21, 2017
Scientists performed an unbiased analysis of functional diversity in colorectal cancer cells and their microenvironment using RNA-seq profiling of over 1,500 unsorted single cells from 11 primary tumors and matched normal mucosa (NM). To robustly interpret single-cell transcriptomes, we developed novel algorithms for normalizing expression estimates (pQ), clustering cells (RCA) and identifying differentially expressed genes (NODES). RCA identified 6 major cell types and multiple subtypes within colorectal samples.
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