Enrichment Analysis from pairwise differential expression results in OmicsBox
This article explains how to start functional enrichment analysis of pairwise differential genes in Blast2GO.
Mini-tutorials for common use-cases and to address frequently asked questions FAQs
This article explains how to start functional enrichment analysis of pairwise differential genes in Blast2GO.
RNA-seq data is sometimes difficult to match with proteins, due to the short length of the reads. When this is the case, it might be useful to try to find EST hits, which can then be used to find new protein matches. In this demo, we will show how to retrieve top EST hits and the different options that this tool
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
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.
Sometimes databases provide the whole genome and the GFF or GTF files but not the exon or CDS FASTA files.With OmicsBox/Blast2GO it is possible to load a Fasta sequences and to extract the exons or the CDS from the genome using the GFF file.
OmicsBox allows renaming the name of all selected sequences by converting, replacing or adding text to the actual sequence name.
OmicsBox allows combining two Functional Anlaysis projects which contain either have the same identifiers or different ones.
CloudBlast and CloudIPS need Cloud Units to work.If all Cloud Units have been consumed CloudBlast and CloudIPS will stop. Consumption depends on what you are doing. The most costly (in terms of computation time) analysis is definitely to do a blastx against the whole NR with very long sequences. The smaller the database used the less Cloud Units are used. Use the taxonomy