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What is Cufflinks?

Cufflinks is a software solution designed to compile transcript data, estimate their relative abundance, and analyze differential expression and regulation within RNA-Seq datasets. By processing aligned RNA-Seq reads, it organizes these into a coherent representation of transcripts. The software evaluates the relative levels of these transcripts using the number of supporting reads while considering biases introduced during library preparation. Originally developed in partnership with the Laboratory for Mathematical and Computational Biology, Cufflinks seeks to streamline the installation process by providing various binary packages that mitigate the often challenging task of building the software from its source code, which typically requires the installation of multiple libraries. This toolset includes several utilities aimed at RNA-Seq experiment analysis, with some features available for standalone use and others designed to integrate into a broader analytical workflow. Furthermore, Cufflinks is essential for genomics researchers, as it significantly enhances their capacity to interpret RNA-Seq data and derive meaningful insights from their experiments. With its user-friendly approach, Cufflinks continues to support advancements in genomic research methodologies.

What is BigOmics Analytics?

BigOmics Analytics is a groundbreaking startup dedicated to the field of biodata analytics, developing tools that help biologists visualize and interpret their omics data with ease. Its flagship product, Omics Playground, is a user-friendly bioinformatics platform tailored specifically for RNA-seq and proteomics data, allowing users to interactively store and analyze experimental findings. Featuring over 18 interactive analysis modules and more than 150 vibrant plots, BigOmics Analytics enables users to conduct co-analysis with access to over 6,000 publicly available datasets, as well as more than 50,000 public gene sets and pathways. In addition to this, the platform integrates various databases related to drug connectivity and sensitivity, boasting over 30,000 drug expression profiles that significantly enhance research capabilities. Designed to facilitate effective collaboration between biologists and bioinformaticians, BigOmics Analytics helps users derive insights more swiftly, ultimately saving precious time during the data analysis process, all without requiring any coding knowledge. Moreover, the platform ensures reliable and reproducible results through advanced methodologies, instilling confidence in the accuracy of their analytical outcomes. As a result, researchers can focus on scientific discovery rather than technical hurdles, allowing for deeper exploration of biological phenomena.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cole Trapnell

Date Founded

2017

Company Location

United States

Company Website

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

Company Facts

Organization Name

BigOmics Analytics

Date Founded

2018

Company Location

Switzerland

Company Website

bigomics.ch/

Categories and Features

Categories and Features

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