News

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Introducing OmicsBox Web

We are happy to announce OmicsBox Web, a new browser-based companion to BioBam’s OmicsBox platform. OmicsBox Web is available at https://omicsbox.biobam.com and uses the same OmicsBox account credentials, so analysis jobs launched via OmicsBox, input data and results as well as account settings are now reachable from any device with a web browser. OmicsBox Web is designed to complement the

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OmicsBox 4.0 Release

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

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OmicsBox Industry Workshop at PAG33: From Raw Data to Biological Insight

  At PAG33, we had the opportunity to participate once again in one of the most important international meetings for Plant and Animal Genomics. In addition to our exhibition booth, this year we were pleased to organize an industry workshop focused on practical non-code bioinformatics workflows using OmicsBox. The session brought together both methodological overviews and real research applications, and

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BioBam at PAG 33: Join Our Industry Workshop on No-Code Bioinformatics and the Launch of OmicsBox 4

BioBam returns to San Diegeo for another year. After many editions participating in The Plant & Animal Genome Conference (PAG), we are excited to host our own Industry Workshop for the first time. This special session will bring together our team and invited experts will walk through end-to-end workflows for functional analysis, transcriptomics, genetic variation, and long-read data, all without

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OmicsBox 3.5 Release

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

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BioBam at the LongTREC Summer School

  Our team member and PhD student Fabian Jetzinger recently contributed to the organization of the LongTREC summer school, held at the Earlham Institute in Norwich, UK. The 4-day course, organized by the MSCA doctoral network LongTREC welcomed 27 participants from across Europe for an intensive introduction to bioinformatic analyses of long-read transcriptomics data. A diverse range of complex topics

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OmicsBox in a New Scientific Publication on Sorghum Stress Responses

  At BioBam we are proud to see OmicsBox supporting scientific research. It is always rewarding to witness our users making significant advances in their respective fields and publishing their findings in esteemed journals such as Nature Scientific Data. These publications reinforce OmicsBox’s role as a valuable tool in bioinformatics, helping researchers analyze complex datasets with precision and efficiency. A

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LongTREC Secondments at BioBam: Advancing Long-Read Transcriptomics Through Collaboration

The LongTREC Marie Skłodowska-Curie Actions Doctoral Networks is an innovative European initiative that advances transcriptomics through Long-Read RNA Sequencing (lrRNA-seq). PhD candidates participating in LongTREC benefit from collaborative opportunities with public and industry partners, gaining invaluable expertise while developing advanced tools and workflows.  As part of the LongTREC network, BioBam hosts secondments and offers an unique environment where academia meets

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OmicsBox 3.4: CellKb’s Advanced Cell-Type Annotation

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

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