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features
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Description

Delve into a vast collection of meticulously curated single-cell transcriptome datasets, as well as your own, using dynamic visualizations and analytical tools. This software is versatile, accommodating multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomics. Engage with the most extensive single-cell expression database globally, where you can access and extract insights from a repository featuring millions of fully annotated cells complete with cell type labels and experimental metadata. Beyond merely serving as a conduit to published research, BioTuring Browser functions as a comprehensive end-to-end solution tailored for your specific single-cell data needs. Easily import your fastq files, count matrices, or Seurat and Scanpy objects to uncover the biological narratives contained within. With an intuitive interface, you can access an extensive array of visualizations and analyses, transforming the process of extracting insights from any curated or personal single-cell dataset into a seamless experience. Additionally, the platform allows for the importation of single-cell CRISPR screening or Perturb-seq data, enabling users to query guide RNA sequences with ease. This functionality not only enhances research capabilities but also facilitates the discovery of novel biological insights.

Description

Cufflinks is a software tool that compiles transcripts, estimates their levels of abundance, and evaluates differential expression and regulation in RNA-Seq datasets. By accepting aligned RNA-Seq reads, it organizes these alignments into a streamlined representation of transcripts. The software then assesses the relative abundances of these transcripts based on the number of supporting reads, while also factoring in potential biases from library preparation methods. Initially created through a collaboration with the Laboratory for Mathematical and Computational Biology, Cufflinks aims to simplify the installation process by offering several binary packages that alleviate the often cumbersome task of building the software from source, which necessitates the installation of various libraries. This toolset encompasses multiple utilities tailored for analyzing RNA-Seq experiments, with some functionalities available independently and others designed to fit into a more comprehensive workflow. Overall, Cufflinks serves as a vital resource for researchers in the field of genomics, enhancing their ability to interpret RNA-Seq data effectively.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
R Yes 

Integrations

Python No 
R No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BioTuring Browser

Country

United States

Website

bioturing.com/bbrowser

Vendor Details

Company Name

Cole Trapnell

Founded

2017

Country

United States

Website

cole-trapnell-lab.github.io/cufflinks/

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