SciSpace BioMed Agent
SciSpace BioMed is a domain-native AI “co-scientist” for biomedical research that combines a vast literature database with 150+ integrated bio-tools and 100+ academic databases and software suites to streamline complex research workflows, from genomics and single-cell analysis to drug discovery and clinical genomics. It enables researchers to ask natural-language questions, ingest datasets, interpret variants or multi-omics data, design cloning or wet-lab workflows, reason about clinical or disease biology, and generate publication-ready outputs (e.g., figures, tables, and presentations) with full transparency and citations. Users can interact with scientific papers via “chat with PDF,” highlight confusing text, math, or tables, and get clear explanations, ideal for understanding difficult methods or concepts. For literature review or exploratory research, its AI-driven semantic search accesses millions of papers and returns citation-backed summaries.
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Cellenics
Turn your single-cell RNA sequencing data into meaningful insight with Cellenics software. Biomage hosts a community instance of Cellenics, an open source analytics tool for single-cell RNA sequencing data that has been developed at Harvard Medical School. It enables biologists to explore single-cell datasets without writing code and helps scientists and bioinformaticians to work together more effectively. It takes you from count matrices to publication-ready figures in just a few hours and can be integrated seamlessly with your workflow. It’s fast, interactive, and user-friendly. And it’s cloud-based, secure, and scaleable. The Biomage-hosted community instance of Cellenics is free for academic researchers with small/medium-sized datasets (up to 500,000 cells). It’s used by 3000+ academic researchers studying cancer, cardiovascular health, and developmental biology.
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BioTuring Browser
Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomic. Interactively explore the world's largest single-cell expression database. Access and query insights from a single-cell database of millions of cells, fully annotated with cell type labels and experimental metadata. Not just creating a gateway to published works, BioTuring Browser is an end-to-end solution for your own single-cell data. Import your fastq files, count matrices, Seurat, or Scanpy objects, and reveal the biological stories inside them. Get a rich package of visualizations and analyses in an intuitive interface, making insight mining from any curated or in-house single-cell dataset become such a breeze. Import single-cell CRISPR screening or Perturb-seq data, and query guide RNA sequences.
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OmnibusX
In the world of biological data science, navigating vast and complex datasets can be a daunting task. Our software toolkit is designed to empower you by accelerating analysis, promoting accessibility, and providing comprehensive visualization tools to help you make sense of these intricate biological datasets.
Our platform is built with data accessibility at its core. With just a few clicks, you can gain seamless access to extensive, high-dimensional biological datasets, including bulk RNA-seq, single-cell RNA-seq, scATAC-seq, spatial RNA-seq, and metagenome-seq. This allows you to focus less on data wrangling and more on analysis and discovery.
Our integrated standard processing pipeline includes the latest tools for standard data processing. From normalization and batch correction to PCA, t-SNE, UMAP, clustering, cell type prediction, TCR/BCR, genome browser, and beyond, our pipeline is designed to streamline your workflow and provide you with reliable, reproducible results.
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