OmicsBox/Blast2GO offers two different features to retrieve the gene/protein sequences as well as the corresponding annotation from a list of identifiers within Blast2GO PRO. Both features can be found under File > Load > Load Annotations. The expected input file is a text file with the identifiers in a single column without a header.
(Release Date: 02/08/2018) We are happy to announce that Blast2GO 5.2 has now been released. This update makes our bioinformatics tool for straightforward functional genomics even better.Read below to learn which features and improvements are part of this release. Main features: Venn Diagrams that are fully customizable and allows multiple list comparisons FastQ Pre-Processing (Adapters, Quality, Length) with multiple trimming options.
OmicsBox/Blast2GO provides an interface to create, edit and run workflows based on the Common Workflow Language (CWL) specification. This interface allows to describe all analysis steps using the functions and tools offered by Blast2GO and connect them to perform a complete analysis in a single run. This video shows step-by-step how to create a workflow from scratch, define the input
The Transcript-level Quantification feature of OmicsBox/Blast2GO allows quantifying the gene and isoform expression of RNA-seq datasets. This video shows step-by-step how to create a count table of aligned sequencing reads and explains in detail the different concepts of expression quantification at transcript level. The application is based on the RSEM software package, which assigns reads to the isoforms they came
Blast2GO Supported Project. Researchers: MSc Sara D. Cardoso, Ph.D. candidate at Gulbenkian Institute for Science (IGC), Oeiras, Portugal Supervisors: Prof. Rui F. Oliveira, Gulbenkian Institute for Science (IGC), Oeiras, Portugal and Prof. Adelino V. M. Canário, CCMAR – Centre of Marine Sciences, University of Algarve, Faro, Portugal Background and Project Overview: The peacock blenny Salaria pavo (family Blenniidae) is a
The “Create Count Table” feature of OmicsBox/Blast2GO allows quantifying the gene expression of RNA-seq datasets. This video shows step-by-step how to create a count table of raw reads and explains in detail different concepts of expression quantification. The available parameters are inspired by the popular HTSeq Python Package (reference below).
Release Date: 13/01/2018) Just in time for the PAG Plant & Animal Genome Conference, we launched Blast2GO 5! This major release brings many new features. Most importantly, Blast2GO is now connected to the powerful BioBam Cloud, an AWS architecture which gives a big boost to many analysis steps. Details below. To upgrade from version 4 to 5 you have to
This video shows how to use the ‘Coding-Potential Assessment Tool’ which allows distinguishing the coding transcripts from the non-coding transcripts. This can be achieved using prebuilt models or building a species-specific model from the NCBI database. The results of the coding potential can be cross-checked with the Blast results and may allow discovering some novel mRNA.
BioBam Supported Project: Changes in maize transcriptome in response to Maize Iranian Mosaic Virus (MIMV) infection. Researchers: Mr. Abozar Ghorbani, Ph.D. candidate at Plant Virology Research Center, College of Agriculture, Shiraz University, Shiraz, Iran Supervisors: Prof. Keramatollah Izadpanah, Plant Virology Research Center, College of Agriculture, Shiraz University, Shiraz, Iran and A/Prof. Ralf Dietzgen, Queensland Alliance for Agriculture and Food Innovation, the
