OnRamp Bio debuts as ROSALIND at AGBT and launches first-of-its-kind single-cell data analysis solution

3 Mar 2021
Edward Carter
Publishing / Media

Product news

ROSALIND has announced the commercial launch of its new solution for single-cell data analysis. The new analysis module, which enables web-based collaboration and the analysis and interpretation of 10X Genomics-generated single-cell data, is built on the company’s proven cloud-based platform that is well-known for its intuitive, fast, and easy-to-use tools for analyzing RNA-Seq, NanoString nCounter, as well as other data types. Formerly known as OnRamp Bio, ROSALIND also unveiled its new corporate brand as part of its presence at the virtual Advances in Genome Biology and Technology (AGBT) conference taking place March 1-3, 2021.

“In recent years, enabled by the broad adoption of powerful new technology platforms, single-cell analysis has begun to revolutionize biological understanding and translational applications. However, many researchers are encountering challenges with the computational burdens of basic single-cell analysis and a lack of intuitive bioinformatics tools,” said Jean Lozach, Chief Science Officer at ROSALIND. “The ROSALIND Single Cell module makes it possible for any researcher to analyze and interpret single-cell data via a web browser. Democratizing access has the potential to dramatically accelerate discovery and insights from single-cell science.”

The ROSALIND platform is a cloud-based SaaS ecosystem accessible via any secure web browser. Its intuitive pipelines for the analysis and interpretation of multi-omic data enable point-and-click discovery in RNA-Seq, Single Cell RNA-Seq, ATAC-Seq, and ChIP-Seq, among others. The new ROSALIND Single Cell Solution enables users to easily generate and annotate single cell clusters from FASTQ data files via an intuitive graphical user interface, then perform downstream analysis of cell clusters informed by knowledge bases and comparisons to other data sets. With the proven ROSALIND platform, users benefit from the collaboration capabilities and scalability of elastic cloud-based computing infrastructure as well as enterprise security and project permissions management.

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Genome AnalysisGenomics, the study of genomes, includes functional genomics, evolutionary genomics and comparative genomics. There are many genomic technologies such as DNA sequencing of whole genomes, computational biology and bioinformatics. DNA and nucleic acids must be isolated and concentrated from cells for analysis with kits, automated analyzers and software. Other useful technologies for studying genomics include PCR, microarrays and electrophoresis.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.GenomicsGenomics is the study of genomes, focusing on the sequencing, analysis, and interpretation of genetic material. It is key in understanding genetic diseases, evolutionary biology, and personalized medicine. Techniques like next-generation sequencing (NGS) are commonly used in genomics research. Browse our peer-reviewed product directory to find the best genomics tools, compare products, check reviews, and get pricing directly from manufacturers.Single Cell Genomics
OnRamp Bio debuts as ROSALIND at AGBT and launches first-of-its-kind single-cell data analysis solution