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OmicsBox supports COVID-19 projects

COVID-19 Research Project in India with OmicsBox Support

BioBam Supported Project – with OmicsBox. Researchers: Dr. Abhishek Kumar, Computational Genome Biology Lab at Institute of Bioinformatics, Bangalore, India Project: The pandemic of coronavirus disease 2019 (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pushed the entire world on a halt with the largest lockdown of our times. A total numbers of infected cases are

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OmicsBox supports COVID-19 projects

COVID-19 Research Project in the United Kingdom with OmicsBox Support

BioBam Supported Project – with OmicsBox. Researchers: Richard Lathe – Division of Infection Medicine, University of Edinburgh Medical School, Edinburgh, UK Project: In managing the COVID-19 pandemic there is an urgent need to understand why some people develop severe infection leading to hospitalization and mortality, whereas others are relatively unaffected.

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OmicsBox supports COVID-19 projects

COVID-19 Research Project in Tunisia with OmicsBox Support

BioBam Supported Project – with OmicsBox. Researchers: Pr. Sami Aifa from the Laboratory of Molecular and Cellular Screening Processes (LPCMC) from the Centre of Biotechnology of Sfax, Tunisia Dr. Amor Mosbah from the Laboratory of Biotechnology and Valorization of Bio-Geo-Ressources (LBVBGR) from the Superior Institute of Biotechnology of Sidi Thabet, Tunisia  Dr. Salma Abdeljalil and Pr. Ali Gargouri from the

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OmicsBox supports COVID-19 projects

COVID-19 Research Project in Brazil with OmicsBox Support

BioBam Supported Project – with OmicsBox. Researchers: Luis Fernando Saraiva Macedo Timmers – Coordinator – Univates, Brazil Rafael Andrade Caceres – UFCSPA, Brazil Leandro de Mattos Pereira, UFRJ, Brazil Fernando Ruggiero Bachega – UFCSPA, Brazil Marcia Ines Goettert – Univates, Brazil Luiz Augusto Basso – PUCRS, Brazil Project: Currently, a large amount of data is available regarding the new SARS-CoV-2

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Metagenomic analysis of two soda lakes, with and without cyanobacterial bloom, with OmicsBox

In this use case we will use the metagenomics tools included in OmicsBox to analyze the microbial communities of two different soda lakes from Brazil. The original study was carried out by Ana P. D. Andreote, et al., 2018 (doi: 10.3389/fmicb.2018.00244). Introduction Soda lakes are special ecosystems found across Africa, Europe, Asia, etc. These lakes show high levels of sodium

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A. galli

Reanalyzing the A. galli transcriptomic response to an anthelmintic drug with OmicsBox

In this analysis, we will reproduce the study that was carried out by Michaela M. Martis et al. in 2017 (doi: http://doi.org/10.1371/journal.pone.0185182) with OmicsBox. Introduction Ascaridia galli is an intestinal parasite which infects a wide range of domestic birds. It is especially important in European farms, where it parasites laying hens and cause some economic problems. The only available treatments are

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Metagenomic analysis of two soda lakes, with and without cyanobacterial bloom, with OmicsBox

In this use case we will use the metagenomics tools included in OmicsBox to analyze the microbial communities of two different soda lakes from Brazil. The original study was carried out by Ana P. D. Andreote, et al., 2018 (doi: 10.3389/fmicb.2018.00244). Introduction Soda lakes are special ecosystems found across Africa, Europe, Asia, etc. These lakes show high levels of sodium

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Multilocus Sequence Typing MLST Analysis Tool

The Multilocus Sequence Typing Analysis Tool of OmicsBox (MLST) is a nucleotide sequence-based approach of characterizing isolates of bacterial species using the sequences of internal fragments of seven housekeeping genes. This video shows step-by-step how to analyze bacterial sequences with the MLST App in OmicsBox. As input, users can provide either DNA-Seq reads in FASTQ or contigs/scaffolds in FASTA format.

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