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10x Genomics was founded in 2012 by Serge Saxonov, Ben Hindson and Kevin Ness to create advanced testing equipment for use in cellular biology. [3] Prior to starting the company, Saxonov was the founding architect, and director of research and development at 23andMe. [2]
Following this lawsuit, 10x Genomics discontinued their linked-read assay. [15] An exception was made for linked-read products which had already been sold by the company prior to the lawsuit, allowing 10x Genomics to continue to provide those researchers with services such as support and warranty maintenance for this technology. [citation needed]
Previous efforts of coupling index-sorting measurements from single cell sorts with scRNA-seq were limited to running a small sample size and were not compatible with multiplexing and massive parallel high-throughput sequencing. CITE-seq has been shown to be compatible with high-throughput microfluidic platforms like 10X Genomics and Drop-seq ...
Single cells are either mechanically separated into microwells (e.g., BD Rhapsody, Takara ICELL8, Vycap Puncher Platform, or CellMicrosystems CellRaft) or encapsulated in droplets (e.g., 10x Genomics Chromium, Illumina Bio-Rad ddSEQ, 1CellBio InDrop, Dolomite Bio Nadia). [28]
The outline of the classical Hi-C workflow is as follows: cells are cross-linked with formaldehyde; chromatin is digested with a restriction enzyme that generates a 5’ overhang; the 5’ overhang is filled with biotinylated bases and the resulting blunt-ended DNA is ligated. [1]
Single-cell genomics is a powerful way to obtain microbial genome sequences without cultivation. This approach has been widely applied on marine, soil, subsurface, organismal, and other types of microbiomes in order to address a wide array of questions related to microbial ecology, evolution, public health and biotechnology potential.
With a large number of bioinformatics workflow systems to choose from, [13] it becomes difficult to understand and compare the features of the different workflow systems. . There has been little work conducted in evaluating and comparing the systems from a bioinformatician's perspective, especially when it comes to comparing the data types they can deal with, the in-built functionalities that ...
Spatial transcriptomics, or spatially resolved transcriptomics, is a method that captures positional context of transcriptional activity within intact tissue. [1] The historical precursor to spatial transcriptomics is in situ hybridization, [2] where the modernized omics terminology refers to the measurement of all the mRNA in a cell rather than select RNA targets.