BioBam, a leading bioinformatics solutions provider, proudly presents OmicsBox Version 3.4 at the San Diego Plant and Animal Genome Conference (PAG 32). This latest release 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 by simultaneously leveraging multiple references, enabling cross-species annotation, and offering continuous updates without requiring researchers to curate their references. This approach simplifies single-cell data annotation, addressing key challenges like reference selection while ensuring high accuracy.

To showcase this partnership’s benefits, BioBam and CellKB will host a webinar on February 13, focusing on how these new tools simplify cell-type annotation and accelerate single-cell analysis workflows.

Dr. Stefan Götz, CEO of BioBam, commented, “The OmicsBox version we are presenting this year in San Diego introduces significant advancements in single-cell and long-read transcriptomics and expanded microbiome analysis capabilities. With these developments, we aim to support our users in addressing these challenging research areas.”

OmicsBox 3.4 introduces major improvements, including a taxonomic classification for metagenomics using Silva, Greengenes, and GTDB databases, a redesigned PacBio IsoSeq pipeline, and new tools for combining transcriptomes with TAMA Merge in long-read transcriptomics.

These enhancements in OmicsBox 3.4 empower researchers to extract deeper insights from complex datasets with greater precision and efficiency. They also reaffirm BioBam’s commitment to bioinformatics innovation by providing cutting-edge tools that push the boundaries of genomic research.

Source – BusinessWire