This project reproduces the study carried out by Hittalmani S. et al. in 2016 about the S. oryzae fungus, which causes sheath rot of rice. We used OmicsBox for all necessary steps till functional analysis in order to predict pathogenic functions. (Original research paper: https://doi.org/10.1186/s12864-016-2599-0)
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
Whole genome functional annotation of Solanum lycopersicum with OmicsBox functional annotation module.
This article explains how to export a GFF file with GO terms in Blast2GO.
This article explains how to start functional enrichment analysis of pairwise differential genes in Blast2GO.
This article explains how to create ID lists of either Blast results or differential expressed genes in Blast2GO.
When running GeneFinding the sequences receive a name with the predicted genes. The first part of the sequence identifier comes from the genome reference sequence name (de-novo assembly) and then a _orfx is appended, where x is a number. Sometimes this name is not useful to proceed with downstream analysis or compare results from other experiments. Is there any way
A Venn Diagram is a graphical representation of sets or groups of elements or IDs in form of circles where common elements/IDs of the sets are represented by the areas of overlap among the circles. In bioinformatics this is a popular graphical representation to compare subsets, for example when running a pairwise differential expression analysis it might be interesting to
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.
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