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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
Evo Designer is a cutting-edge tool created by the Arc Institute, harnessing the power of the Evo 2 genomic foundation model to aid in the generation and analysis of DNA sequences. Users can enter nucleotide sequences or select specific organisms, prompting the model to produce relevant DNA sequences tailored to their needs. This platform also offers detailed annotations of coding regions and provides 3D protein visualizations for prokaryotic sequences through ESMFold, enhancing the understanding of protein structures. In addition to these features, Evo Designer evaluates sequences by calculating their perplexity and per-nucleotide entropy, which helps researchers gauge the complexity and variability of the sequences they are working with. The Evo 2 model at the core of this tool has been trained on an impressive dataset of over 9 trillion nucleotides sourced from a wide variety of prokaryotic and eukaryotic genomes. Utilizing a sophisticated deep learning architecture, it models biological sequences with single-nucleotide precision and boasts a context window that can extend up to 1 million tokens, thereby ensuring high accuracy in sequence representation and analysis. This combination of features makes Evo Designer an invaluable resource for genetic research and exploration.
API Access
Has API
API Access
Has API
Integrations
Evo 2
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cole Trapnell
Founded
2017
Country
United States
Website
cole-trapnell-lab.github.io/cufflinks/
Vendor Details
Company Name
Arc Institute
Country
United States
Website
arcinstitute.org/tools/evo/evo-designer