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What is MEGA?

MEGA, an acronym for Molecular Evolutionary Genetics Analysis, is a user-friendly and highly effective software suite designed for the analysis of DNA and protein sequences across various species and populations. It facilitates both automated and manual sequence alignment, the development of phylogenetic trees, and the evaluation of evolutionary hypotheses. Utilizing a variety of statistical methods, including maximum likelihood, Bayesian inference, and ordinary least squares, MEGA proves to be essential for comparative sequence analysis and understanding molecular evolution. Furthermore, it boasts advanced features such as real-time caption generation that enhances clarity regarding the results and methods used in the analysis, in addition to employing the maximum composite likelihood method for determining evolutionary distances. The software is also equipped with robust visual tools, including an alignment/trace editor and a tree explorer, and supports multi-threading to improve processing efficiency. Additionally, MEGA is designed to be compatible with multiple operating systems, including Windows, Linux, and macOS, thus broadening its accessibility for a wide range of users. Overall, MEGA is recognized as a vital resource for researchers investigating the complexities of molecular genetics, making it a prominent choice in the field. As scientific inquiries continue to evolve, the ongoing development of MEGA ensures it remains at the forefront of molecular evolutionary analysis.

What is Evo Designer?

Evo Designer, an innovative instrument developed by the Arc Institute, leverages the capabilities of the Evo 2 genomic foundation model to assist in both the creation and examination of DNA sequences. By allowing users to input nucleotide sequences or choose particular organisms, the platform generates tailored DNA sequences that meet specific research requirements. Moreover, it provides comprehensive annotations for coding regions and enables 3D visualizations of prokaryotic protein structures through ESMFold, thereby deepening users' comprehension of protein architecture. Additionally, Evo Designer assesses the complexity of sequences by calculating perplexity and per-nucleotide entropy, offering researchers insights into the variability of their data. Central to this tool is the Evo 2 model, which has been trained on a vast dataset exceeding 9 trillion nucleotides from a diverse range of prokaryotic and eukaryotic genomes. Harnessing an advanced deep learning framework, this model accurately represents biological sequences at a single-nucleotide level and can accommodate a context window of up to 1 million tokens, ensuring meticulous sequence analysis. The diverse features offered by Evo Designer significantly enhance genetic research, making it a crucial asset for scientists in the field. As a result, the tool not only streamlines the process of DNA sequence analysis but also fosters deeper insights into genetic structures and their functions.

Media

Media

Integrations Supported

Evo 2

Integrations Supported

Evo 2

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

MEGA

Company Location

United States

Company Website

www.megasoftware.net

Company Facts

Organization Name

Arc Institute

Company Location

United States

Company Website

arcinstitute.org/tools/evo/evo-designer

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