CufflinksCole Trapnell
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Parse Biosciences EvercodeParse Biosciences
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About
Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology. In order to make it easy to install Cufflinks, we provide a few binary packages to save users from the occasionally frustrating process of building Cufflinks, which requires that you install the libraries. Cufflinks includes a number of tools for analyzing RNA-Seq experiments. Some of these tools can be run on their own, while others are pieces of a larger workflow.
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About
Combinatorial barcoding technology strips away the limitations and frustrations of yesterday’s single-cell approach. It ditches the specialized instrument, freeing you to pursue unprecedented discoveries. Unleash the potential of a single cell. Profile from 1000 to 1 million cells or nuclei in a single experiment, offering unparalleled scientific progress. Evercode combinatorial barcoding technology blows droplet-based approaches out of the water. Expand the size of your experiments without the limitations of yesterday’s restraints. Get better data quality. All without the need for finicky hardware that’s already out of date. Perform single-cell experiments with nothing more than a pipette and common laboratory equipment. Split-pool combinatorial barcoding enables scalable single cells without any custom instrument. Scalable single-cell sequencing without the instrument. Each kit provides end-to-end solution reagents and intuitive analysis software.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Scientists requiring a solution to analyze their RNA-Seq samples
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Audience
Lab researchers looking for a solution to explore single-cell transcriptomics and make experiments
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCole Trapnell
Founded: 2017
United States
cole-trapnell-lab.github.io/cufflinks/
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Company InformationParse Biosciences
Founded: 2018
United States
www.parsebiosciences.com
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Integrations
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Integrations
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