BOL

NVIDIA and the Arc Institute have introduced Evo 2, a groundbreaking AI model designed to understand, predict, and generate DNA sequences. This marks a major advancement in computational biology, offering scientists an unprecedented tool to decode...

The bigger lesson is simple: better biological discoveries often begin with better data.

We study the evolutionary genomics of marine invertebrates to understand their origins and diversity. Our lab combines high-throughput sequencing and single-cell transcriptomics to explore a wide range of non-model systems. We are particularly...

Consider a scenario in which a patient's genome has been sequenced. Among billions of DNA bases, a structural alteration may explain the patient's disease. Multiple advanced algorithms analyze the data, yet only one detects the variant, while the...

pypi.org - DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a...

support.10xgenomics.com - Supernova generates phased, whole-genome de novo assemblies from a Chromium-prepared library. Please see Achieving Success with De Novo Assembly and System Requirements before creating your Chromium libraries for...

gojs.net - GoJS is a feature-rich JavaScript library for implementing custom interactive diagrams and complex visualizations across modern web browsers and platforms. GoJS makes constructing JavaScript diagrams of complex nodes, links, and groups easy with...

christophergandrud.github.io - You can also create Sankey diagrams with sankeyNetwork. Here is an example using downloaded JSON data: https://en.wikipedia.org/wiki/Sankey_diagram

github.com - VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from...

Geospatial data is becoming increasingly important in many fields, including urban planning, environmental science, public health, and more. These tools can help you work with data from a variety of sources, including satellite imagery, GPS data,...