MEGA Alternatives

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Galaxy is an open source, web-based platform for data-intensive biomedical research. If you are new to Galaxy start here or consult our help resources. You can install your own Galaxy by following the tutorial and choosing from thousands of tools from the tool shed. This instance of Galaxy is utilizing infrastructure generously provided by the Texas Advanced Computing Center. Additional resources are provided primarily on the Jetstream2 cloud via ACCESS, and with support from the National Science Foundation. Quantify, visualize, and summarize mismatches in deep sequencing data. Build maximum-likelihood phylogenetic trees. Phylogenomic/evolutionary tree construction from multiple sequences. Merge matching reads into clusters with TN-93. Remove sequences from a reference that are within a given distance of a cluster. Perform maximum-likelihood estimation of gene essentiality scores.

Biohub is an open platform for building on the world model of protein biology. It provides access to the ESM family of models, including ESMC, ESMFold2, and ESM3, along with interactive tools and developer resources for protein science research. ESMC is a state-of-the-art protein language model trained on billions of evolutionary sequences, building representations that capture fundamental mechanisms of protein structure and function. It powers functional analysis, structure prediction, protein design, and the exploration of evolutionary relationships between proteins. ESMFold2 predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. ESM3 jointly models sequence, structure, and function, enabling controllable generation of novel proteins by conditioning on any combination of these modalities.

HyperProtein is Hypercube, Inc.'s new product focusing on the computational science associated with protein sequences. The product includes the analysis of one-dimensional protein sequences as well as the analysis of consequent three-dimensional protein structures. In particular, the relationship between sequence and structure is a fundamental facet of the product. Unlike individual software programs that provide capability for some aspect of protein sequence or structure, such as sequence alignment, HyperProtein puts together a multitude of Bioinformatics and Molecular Modeling tools related to the science that initiates with a protein sequence.

Evo Designer is an advanced tool developed by the Arc Institute, leveraging the capabilities of the Evo 2 genomic foundation model to facilitate DNA sequence generation and analysis. This platform enables users to input nucleotide sequences or specify organisms, prompting the model to generate corresponding DNA sequences. It provides comprehensive annotations of coding regions and, for prokaryotic sequences, offers 3D protein visualizations utilizing ESMFold. Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens.

ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.

Geneyx Analysis is a comprehensive solution for next-generation sequencing (NGS) data that can scale the process of FASTQ to clinical reports for hospital and commercial labs. This advanced platform integrates machine learning and AI-based features to identify novel biomedical insights, while also improving diagnostic yields and turnaround times. By providing a fully transparent and intuitive solution, Geneyx Analysis enables clinicians and researchers to have complete control over data analysis and alleviates the complexities of regulating in-house bioinformatics pipelines. Protocols can be fully customized to accommodate gene panels, exomes, and genomes, and our comprehensive annotation engine supports the analysis of all genetic variants including structural and copy number variations as well as regulatory elements. Together, Geneyx Analysis automates the diagnostic process from sequencer to report, while creating a comprehensive resource for novel variant discovery.