In recent years, we have been updating our ISO 27001 certification status since its initial achievement in 2020. Since then, the BioBam team has been dedicated to maintaining high standards of quality and security during each annual review. We are pleased to announce that BioBam has now been recertified as a secure and responsible organization by the ISO 27001 standard.
The BioBam team has recently returned from the 31st International Plant and Animal Genome Conference (PAG) in sunny California. Once again, PAG proved to be a great place for sharing, learning, and presenting the latest features of our bioinformatics solutions. We showed OmicsBox to many attendees and hopefully improved their understanding of its rich set of features and
The pursuit of genetic advancement in agricultural crops is a nuanced and ongoing scientific endeavor. The advent of Genome-Wide Association Studies (GWAS) marked a significant stride, offering a window into the intricate interplay between genetic variants and phenotypes. Yet, the scope of insights garnered through GWAS can be further enriched when coupled with refined analytical tools. The Gene Set Analysis
Sequence alignment is an essential element of genomics research, playing a significant role in aiding scientists in deciphering the intricacies of genetic data. When confronted with the task of aligning long reads generated by Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT) with precision and efficiency, scientists commonly opt for Minimap2 as their preferred tool (it is the most
What is scRNA-Seq Quantification? The first step for any Single-cell RNA-Seq analysis is to perform the quantification or, in other words, to obtain the gene expression values by cell. It is the input data for further analysis like Clustering, Trajectory, Cell-Cell Communication, Differential Expression, etc. Briefly, in order to obtain the expression values the sequencing reads are aligned to
Barcoding and demultiplexing in high-throughput sequencing experiments Barcoding, or indexing, is a widely used strategy in high-throughput sequencing experiments. This method enables the multiplexing of numerous samples in a single sequencing run by adding a unique DNA sequence to each sample before sequencing. During sequencing, the barcodes are read along with the DNA fragments, allowing the identification and split of
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
From September 27th to 29th, 2023, BioBam organized a Single-Cell Data Analysis Course as part of the Intercept-MDS Network Training Activities. The course was designed to offer a specialized educational program aimed at providing Ph.D. candidates within the network with essential skills for exploring the intriguing field of single-cell data analysis. Course Overview The three-day program immersed participants in the
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.
