We are happy to announce OmicsBox 4.1, a new update to BioBam’s OmicsBox platform. The release adds long reads genome assembly tools like Hifiasm and EviAnn to the genome analysis module, brings WikiPathways into functional analysis, and introduces limma for differential expression of proteomics, microarray and RNA-seq data. It also extends CloudSync to eight more tools and makes everyday work
We are happy to announce OmicsBox 4.0, a major update to BioBam’s OmicsBox platform. The release extends transcriptomics and functional analysis, deepens the integration with cloud execution, and introduces AI-powered analysis summaries. This major release, OmicsBox 4.0, is a significant milestone for BioBam. It brings together several new concepts: Cloud Sync, full visibility and logging for cloud execution, AI features
We are pleased to announce a new OmicsBox release focused on improving your experience. You provided valuable feedback, and we listened carefully. This update introduces thoughtful improvements across the platform, making it smoother, faster, and more reliable to support your daily research. Here are a few highlights. Find the complete release notes here: General Improvements: The Table Export feature has
Improved Metagenomics Classification, and Enhanced Long-Read Transcriptomics Pipelines We proudly present the OmicsBox Version 3.4 release that introduces a range of enhancements designed to address the evolving needs of modern genomics and transcriptomics research. A key highlight of OmicsBox 3.4 is the integration of CellKb, a robust cell-type prediction tool for single-cell RNA sequencing (scRNA-Seq) analysis. CellKb streamlines scRNA-Seq annotation
BioinformaticsWe are excited to announce the release of OmicsBox 3.3, the All-In-One bioinformatics software, designed to simplify your research. This latest version integrates a range of new features and improvements, offering improved usability, advanced functionalities, and expanded database support to meet the diverse needs of the bioinformatics community. With a focus on providing powerful tools and resources, OmicsBox 3.3 brings
We are happy to announce the latest update of OmicsBox 3.2. “I am particularly happy to announce that with our latest release, our team managed to create a straightforward yet sophisticated solution for the challenging domain of Single Cell Transcriptomics. This marks a significant enhancement to the suite of complex analysis scenarios OmicsBox simplifies, including also Long-Read Transcriptomics, a field
OmicsBox’s Single Cell Data Analysis encompasses a comprehensive range of steps, spanning read quantification, pre-processing, clustering, differential expression analysis, and even advanced analyses like trajectory analysis and functional enrichment. This blog post will focus on general trajectory inference using Monocle3 within OmicsBox. Pseudotime Analysis with Monocle3 Monocle3, developed by the Trapnell lab, is a scRNA-Seq data analysis toolkit written in
Empowering Researchers with Advanced End-to-End Analysis Tools for Single-Cell and Genetic Variation Studies. We’re thrilled to announce the much-anticipated arrival of OmicsBox 3.1, a release that brings significant improvements to single-cell data analysis with UMI-based technology support and introduces a functional enrichment tool for genetic variation analysis. It also enhances OmicsBox’s long-read transcriptome analysis options, making it a one-of-a-kind solution.
Once again we are pleased to announce the latest update of OmicsBox 3.0. The whole BioBam team has worked to bring the new version of the BioBam bioinformatics solution to life. We proudly present the Genetic Variation Module as the highlight of OmicsBox 3.0. This module enables variant calling, filtering, and annotation, as well as the association of genetic variations