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What is QIAGEN Ingenuity Pathway Analysis?
IPA is a valuable tool for examining small-scale experiments that yield lists of genes and chemicals. It facilitates focused searches on various genes, chemicals, and drugs, while also enabling the construction of interactive models of experimental systems. The robust data analysis and search features enhance the comprehension of the relevance of data, targets, or potential biomarkers within extensive biological or chemical frameworks. Supporting this software is the Ingenuity Knowledge Base, which is filled with meticulously structured and informative chemical and biological information. Additionally, Comparison Analysis helps ascertain the most critical pathways, upstream regulators, and diseases, and it can also identify biological functions across varying times, dosages, and conditions. Overall, IPA serves as a comprehensive resource for researchers seeking to deepen their understanding of complex biological interactions.
What is Evo 2?
Evo 2 is an advanced genomic foundation model that excels in predicting and creating tasks associated with DNA, RNA, and proteins. Utilizing a sophisticated deep learning architecture, it models biological sequences with precision down to single-nucleotide accuracy, demonstrating remarkable scalability in both computational and memory resources as context length expands. The model has been trained on an impressive 40 billion parameters and can handle a context length of 1 megabase, analyzing an immense dataset of over 9 trillion nucleotides derived from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function predictions across a range of biological types, including DNA, RNA, and proteins, while also generating novel sequences that adhere to plausible genomic frameworks. Its robust capabilities have been highlighted in applications such as the design of efficient CRISPR systems and the identification of potentially disease-causing mutations in human genes. Additionally, Evo 2 is accessible to the public via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework, which significantly enhances its availability to researchers and developers. This integration not only broadens the model's reach but also represents a pivotal advancement in the fields of genomic modeling and analysis, paving the way for future innovations in biotechnology.
Integrations Supported
BioNeMo
Evo Designer
GitHub
Hugging Face
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
QIAGEN
Date Founded
1984
Company Location
Germany
Company Website
www.qiagen.com/us/products/discovery-and-translational-research/next-generation-sequencing/informatics-and-data/interpretation-content-databases/ingenuity-pathway-analysis/
Company Facts
Organization Name
Arc Institute
Company Location
United States
Company Website
arcinstitute.org/tools/evo
Categories and Features
Chemical
Certificates of Analysis
Chemical Process Simulation
Computer-Assisted Structure Elucidation (CASE)
ISO Management
Inventory Management
Particle Tracking
Reporting & Statistics
Samples Tracking
Traceability
Uncertainty Analysis