bioinfo_cipf_es.pm - Library for bioinfo_cipf_es services.
Usage:
my $obj = Object->new ('src_human','Uniprot');
print $obj->toString;
my $aaSeq = inb_bsc_es::getAminoAcidSequence(
'input' => $obj
) -> {'sequence'};
print $aaSeq->SequenceString;
refreshWSDL parameter:
All methods have an additional parameter 'refreshWSDL' used to refresh the service WSDL. Default value is "false".
my $aaSeq = inb_bsc_es::getAminoAcidSequence(
'input' => $obj,
'refreshWSDL' => "true"
) -> {'sequence'};
See also runService.
Library to run available services from bioinfo_cipf_es.
This service returns a PNG image representing a tree of clusters including their profiles
(image => Image_Encoded) = plotClustersProfilesAndTree ( clusters => HierarchicalClustering )
This service returns a PNG image representing a tree of clusters
(image => Image_Encoded) = plotClustersTree ( clusters => HierarchicalClustering )
runFatiGOplusSearch allows you to compare two lists of genes in terms of PubMed bio-entities (chimical and diseases), Gene Ontology terms (cellular component, biological process and molecular function), InterPro motifs, KEGG pathways, SwissProt keywords, Transcriptor factors, cis-regulatory elements (cisRED) and tissues.
(histogram => Image_Encoded) = runFatiGOplusCompare ( list_1 => List_Text, list_2 => List_Text, database => String, terms => String )
runFatiGOplusGenomics allows you to compare genes of a given chromosome region with the rest of the genome in terms of PubMed bio-entities (chimical and diseases), Gene Ontology terms (cellular component, biological process and molecular function), InterPro motifs, KEGG pathways, SwissProt keywords, Transcriptor factors, cis-regulatory elements (cisRED) and tissues.
(histogram => Image_Encoded) = runFatiGOplusGenomics ( region => Object, terms => String, region_end_point => Integer, chromosome => String, database => String, region_start_point => Integer )
runFatiGOplusSearch allows you to annotate a single list of genes with Gene Ontology terms (cellular component, biological process and molecular function), InterPro motifs, KEGG pathways, SwissProt keywords, Transcriptor factors and cis-regulatory elements (cisRED).
(histogram => Image_Encoded) = runFatiGOplusSearch ( list => List_Text, database => String, terms => String )
Hierarchical clustering application for gene expression patterns using different conditions, methods and distances
(clusters => HierarchicalClustering) = runHierarchicalClustering ( microarraydata => MicroArrayData_Text, distance => String, method => String, condition => String )
A hierarchical unsupervised growing neural network based on Self-Organising Tree Algorithm (SOTA) for clustering gene expression patterns using different conditions and distances
(clusters => HierarchicalClustering) = runSOTAClustering ( microarraydata => MicroArrayData_Text, distance => String, condition => String )