Limitations of Existing Solutions
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for analyzing gene expressions at the resolution of individual cells. However, a major bottleneck in the scRNA-seq workflow is the computational alignment of RNA sequences to reference genomes.
Slow for Large Datasets
Traditional scRNA-seq workflows scale poorly with dataset size, leading to long runtimes
Requires Technical Expertise
Configuring parallel environments often demands deep knowledge of network and job scheduling
Complex Infrastructure Management
Managing compute nodes, security policies, and storage setups is time-consuming and error-prone
What CloudBioMapper Offers
CloudBioMapper addresses these challenges with user-friendly web-based solutions.
Elastic Cloud Computing
Dynamically construct a computing clusters tailored to your dataset’s size and complexity
Intuitive
Web UI
GUI-based interface that enables users to launch and manage analysis pipelines with just a few clicks
Fully Managed Infrastructure
Handle AWS EC2 provisioning, job scheduling, security policies, and storage setup behind the scenes
Enjoy the performance and simplicity
CloudBioMapper is a cloud-based platform designed to simplify and accelerate single-cell RNA sequencing (scRNA-seq) alignment. Our mission is to make high-performance bioinformatics accessible to all researchers. No deep IT knowledge required.
Our Poster
CloudMapper: Accelerating Single-Cell RNA Sequence Alignment with a Scalable and User-Friendly Cloud-Based Platform
Kunwoo Park, Jiadong Bai, Yutong Lei, Seul Lee, Dongliang Leng, Jing Zhang, Wei Wang, Shuibing Chen, Chen Li
Presented at Cell Bio 2024, San Diego Convention Center, San Diego, CA, USA, December 16, 2024.