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NCBI GenBank Submission

This video shows how to use the ‘Create NCBI GenBank Genome Submission Files’ tool which allows to generate all files (e.g. the Asn1 (.sqn) file) necessary to submit your annotated sequences to the NCBI database. It allows to combine genomic sequences and functional annotations and creates valid GenBank submission files. Additionally, this video explains how to obtain source files (.gff and .annot files), provides

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Time-Course Differential Expression Analysis

The Time Course Expression Analysis tool allows performing a differential expression analysis of expression data arising from a time course RNA-seq experiment. This application is based on the maSigPro Bioconductor package, which implements a two-step regression strategy to detect genes with significant temporal expression changes and significant differences between experimental groups. This video shows the analysis of count data coming

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Pairwise Differential Expression Analysis

The Pairwise Differential Expression Analysis tool is designed to perform differential expression analysis of count data arising from an RNA-seq experiment. The application, which is based on the software package “edgeR”, allows the identification of differentially expressed genes between two experimental conditions by applying quantitative statistical methods. This video shows the performance of a pairwise differential expression analysis in which

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Blast2GO Augustus Logos

Evaluation of Eukaryotic Gene Finding with Augustus in OmicsBox

The OmicsBox Genome Analysis Module allows executing eukaryotic de-novo and RNA-seq based gene finding with Augustus. In this way, it is possible to discover novel, putative coding genes and their genomic positions for yet uncharacterized genome. Based on the Augustus algorithm an ‘ab-initio’ (DNA sequences only), as well as RNA-seq guided (BAM files) gene predictions, are supported. We will show

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Time Course Expression Analysis

A simple use-case comparing OmicsBox with R chunks for Time Course Expression Analysis The Blast2GO feature “Time Course Expression Analysis” is designed to perform time-course expression analysis of count data arising from RNA-seq technology. Based on the software package ‘maSigPro’, which belongs to the Bioconductor project, this tool allows the detection of genomic features with significant temporal expression changes and

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Pairwise Differential Expression Analysis

A simple use-case comparing OmicsBox with R chunks The OmicsBox feature “Pairwise Differential Expression Analysis” is designed to perform differential expression analysis of count data arising from RNA-seq technology. This tool allows the identification of differential expressed genes considering two different conditions based on the software package ‘edgeR’, which belongs to the Bioconductor project. This use case shows the basic

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How to translate longest ORFs

The Blast2GO “Translate Longest ORF” tool searches for the longest Open Reading Frame (ORF) in nucleotide sequences and translates them into their protein sequences. You may choose one or multiple of the six possible DNA frames or select the reading frame based on the frame of the best blastx hit. In this video, we will explain how to translate a set of

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New Blast2GO Version 3.3

Major Release Version 4

(Release Date: 13/09/2016) We are very happy to announce the release of Blast2GO 4. This new version contains many new bioinformatic features like Differential Expression Analysis, Gene Finding or Gene Set Enrichment Analysis. Blast2GO will update automatically if activated. Otherwise please download the latest version online from here. Feedback, questions, as well as feature requests, are most welcome. Please write

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How to perform a Gene Set Enrichment Analysis (GSEA)

This articles explains what a Gene Set Enrichment Analysis (GSEA) is, how it works and how it can be performed with OmicsBox. What is an enrichment analysis? An enrichment analysis is a bioinformatics method which identifies enriched or over-represented gene sets among a list of ranked genes. Gene sets are groups of genes that are functionally related according to current

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