News

  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

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

We are proud to contribute to BIOVALSA, an initiative supported by the Instituto Valenciano de Competitividad e Innovación (IVACE+i). This collaboration unites leading Valencian organizations such as AIMPLAS, VIROMII, Prime Biopolymers, UPV, and BioBam. The project focuses on transforming agricultural residues—such as rice straw and citrus prunings—into high-value bioplastics like polylactic acid (PLA) and polybutylene succinate (PBS), used across various

Our Teammate and PhD student Fabian Jetzinger, part of the LongTREC MSCA doctoral network, recently spent two months in Stockholm to collaborate with the developers of the isONpipeline tools. This pipeline, part of the OmicsBox Transcriptomics module, facilitates reference-free transcriptome reconstruction from Oxford Nanopore or PacBio long-read RNA sequencing data. Learning from their expertise and bringing in his own set

  At BioBam we were thrilled to attend and sponsor the First Congress of Sociedad Española de Bioinformática i Biología Computacional (SEBiBC) in Valencia, a gathering of experts and researchers in bioinformatics and computational biology. Thanks to our colleague Marta Benegas, we had the opportunity to showcase our work advancing single-cell RNA sequencing (scRNA-Seq) analysis this year. Single-cell RNA sequencing

We are pleased to announce the publication of a comprehensive study in Nature Methods: Systematic Assessment of Long-read RNA-seq Methods for Transcript Identification and Quantification. This research provides an in-depth evaluation of multiple long-read RNA sequencing technologies, comparing their effectiveness in transcript identification and quantification.BioBam participation in this research highlights its expertise in long-read sequencing technologies and its commitment to