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Gene Prediction Augustus OmicsBox

Eukaryotic Gene Finding with OmicsBox

Introduction Given a new genome, one of the first and most important tasks is determining the structure of its protein-coding genes. Ab initio gene prediction algorithms play a critical role because they produce gene structures quickly, inexpensively, and remarkably reliable. In OmicsBox, the Eukaryotic Gene Finding application is based on AUGUSTUS, which is one of the most accurate programs for

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Clustering redundant transcripts in OmicsBox with CD-HIT

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,

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Long-Reads Assembly with OmicsBox

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

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Busco OmicsBox Screenshot

Exploring transcriptome completeness in OmicsBox with BUSCO

De novo transcriptome assemblies are required to analyze RNA-seq data from a species for which there is no reference genome. Once the assembly is complete, researchers need to know how good it is or compare the quality of similar assemblies generated by different parameters. There are several ways to characterize the quality of transcriptome assemblies. A good metric of assembly

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Hybrid Genome Assembly in OmicsBox with SPAdes

DNA sequencing is the process of determining the nucleic acid sequence in DNA, and it is the technology by which the genome of a species can be characterized. Despite the advent of next-generation sequencing, current DNA sequencing technologies cannot read whole genomes at once, but rather reads small pieces of between 20 and 30.000 bases, depending on the technology used.

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SPAdes OmicsBox ScreenShot

New Genome Analysis Features

Release OmicsBox version 1.2 (24th of October, 2019) We are happy to announce the following updates for the genome analysis module. New feature includes a new DNA-Seq de novo assembly strategy based on SPAdes.More details can be found below as well as in the online user manual and Genome Analysis Module website. DNA-Seq de Novo Assembly: SPAdes SPAdes (St Petersburg genome

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Busco OmicsBox Screenshot

New Transcriptomics Features

Release OmicsBox version 1.2 (24th of October, 2019) We are happy to announce the following updates for the transcriptomics module. New features include Completeness Assessment and Predict Coding Regions. More details can be found below as well as in the online user manual and Transcriptomics Module website. Completeness Assessment The Completeness Assessment functionality provides quantitative measures for the assessment of transcriptome assembly completeness, based on

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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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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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