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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.
Description
ESMFold demonstrates how artificial intelligence can equip us with innovative instruments to explore the natural world, akin to the way the microscope revolutionized our perception by allowing us to observe the minute details of life. Through AI, we can gain a fresh perspective on the vast array of biological diversity, enhancing our comprehension of life sciences. A significant portion of AI research has been dedicated to enabling machines to interpret the world in a manner reminiscent of human understanding. However, the complex language of proteins remains largely inaccessible to humans and has proven challenging for even the most advanced computational systems. Nevertheless, AI holds the promise of unlocking this intricate language, facilitating our grasp of biological processes. Exploring AI within the realm of biology not only enriches our understanding of life sciences but also sheds light on the broader implications of artificial intelligence itself. Our research highlights the interconnectedness of various fields: the large language models powering advancements in machine translation, natural language processing, speech recognition, and image synthesis also possess the capability to assimilate profound insights about biological systems. This cross-disciplinary approach could pave the way for unprecedented discoveries in both AI and biology.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
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
Cole Trapnell
Founded
2017
Country
United States
Website
cole-trapnell-lab.github.io/cufflinks/
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
github.com/facebookresearch/esm