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BioBam at the BioIT April 2019

Last April, the BioBam Team attended the Bio-IT World Conference & Expo in Boston and launched OmicsBox v.1.0. OmicsBox is BioBam’s latest offering, a bioinformatics software solution for the analysis of NGS data for different omics applications. OmicsBox provides four modules: The Functional Analysis module which includes the popular Blast2GO Functional Annotation software – BioBam’s flagship for functional genomics studies.

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Lipid transcriptome profiling of indigenous Dunaliella sp. isolate

BioBam Bioinformatics S.L. Supported Project. Researchers: Nahid Hosseinzadeh Gharajeh Mohammad Amin Hejazi Mostafa Valizadeh Ebrahim Dorani Background and Project Overview: Dunaliella is a unicellular, halotolerant, biflagellate microalga which is already exploited as a platform in food, feed, aquaculture, biomedical, pharmaceutical, nutraceutical and cosmeceutical industries, specifically due to its high production of β-carotene and fine chemicals. There is a wide range

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Interview with Mariana Monteiro

Interview with Mariana Monteiro, a Bioinformatician, Sales and Customer Manager at BioBam. What I value the most about BioBam is that it is a very human company very close to its employees.

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BioBam at PAG January 2019

We attended PAG XXVII, the largest Ag-Genomics Meeting in the world. https://www.intlpag.org/2019 We launched OmicsBox Beta and gave away a whole bunch of free subscription. Here a few pics of the happy winners! Hopefully, they took advantage. The PAG 2019 Team with our new OmcisBox Booth :-). See you next year!

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Expression quantification and differential expression analysis

Expression quantification and differential expression analysis

One of the most common applications of RNA-seq is to estimate gene and transcript expression. It starts with the alignment or mapping of reads and there are two possible alternatives: mapping to the genome when a reference sequence is available or mapping to the transcriptome (e.g. de novo assembled transcriptome). Reads may map uniquely or could be multi-mapped reads, while

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de-novo transcriptome overview

Learn about de-novo transcriptome assembly

High-throughput sequencing of RNA has revolutionized the study of species for which a reference genome is not available or incomplete by enabling the large-scale analysis of their transcriptomes. While analyses of model organisms generally rely on a reference genome, studies of non-model organisms usually lack this advantage. In the absence of an appropriate reference genome, de novo transcriptome assembly is

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