De novo transcriptome assemblies are required to analyze RNA-seq data from a species for which there is no reference genome. However, with the advancement of next-generation sequencing technologies, the amount of available sequencing data is growing exponentially. Because of this, assembly algorithms often generate a large number of transcripts. Removing redundancy from such data could be crucial for reducing storage space,
Third-generation DNA sequencing technologies allows scientist to generate longer sequence reads, which can be used in whole-genome sequencing projects to yield better repeat resolution and more contiguous genome assemblies. However, although long-read sequencing technologies can produce genomes with long contiguity, the relatively high error rate of long reads has made it challenging to generate highly accurate final sequences. OmicsBox now
We are happy to announce that a new version of OmicsBox has now been released. OmicsBox provides now Long-Read support for DNA-Seq data analysis pipelines. Several new tools and updates improve the transcriptomics module and a new statistical package in the Metagenomics Module allow to identify functional differences among microbiome samples.
De novo transcriptome analysis in Datura metel and identification of genes related to withanolides biosynthesis pathway
BioBam Scholarship Supported Project – with OmicsBox. Researchers: Madhavi Hewadikaram Dr Sanjaya Deepal Bathige Prof. Veranja Karunaratne Project overview Withanolides are secondary plant compounds that belong to a family of C28 ergostane-type steroidal δ lactones that mainly belong to the family Solanaceae of the plant kingdom. Withanolides have held the interest and its importance in the scientific community owing to
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
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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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
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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