For AI teams and Computer Vision team in organizations of all size
AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
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Securely stream and govern industrial data to power intelligent operations with agentic insights.
For IoT Developers, Solution Architects, Technical Architects, CTOs, OT/IT Engineers
Trusted MQTT Platform — Fully-managed and cloud-native MQTT platform for bi-directional IoT data movement.
A CLI k-mer counting tool for multiple sizes of k at once.
UniversalMer is a k-mer counting tool for multiple size of k at once. It is available for DNA, RNA, and protein sequences. The program counts and summarizes the exact frequency of all k-mers from 1-mer to a user-defined maximum length (kmax). Analyzing the k-mer spectrum across multiple values of k can be done in seconds. This program is designed for bioinformatics researchers and scientists.
MaM processes and manipulates multiple sequence alignments.
MaM is a software tool that processes and manipulates multiple alignments of genomic sequences.
MaM computes the exact locations of common repeat elements in multiple aligned sequences, provided by a variety of user identified programs databases and tables.
It then graphically displays how the alignment quality varies throughout the aligned sequences, providing separate displays for the repeat and non-repeat portions.
Console based notepad number cruncher makes calculations fast and simple, yet with ample features under the hood. With log turned on, you can record your session on-the-fly from any open instance of the program.
MUMmer is a modular system for the rapid whole genome alignment of finished or draft sequence. This package provides an efficient suffix tree library, seed-and-extend alignment, SNP detection, repeat detection, and visualization tools.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
RADAR stands for Rapid Automatic Detection and Alignment of Repeats in protein sequences. RADAR identifies gapped approximate repeats and complex repeat architectures involving many different types of repeats.
Radar has moved to github (https://github.com/AndreasHeger/radar)