Alborzi, S.Z., Devignes, M.-D., Ritchie, D.W.: Associating gene ontology terms with pfam protein domains. In: International Conference on Bioinformatics and Biomedical Engineering, pp. 127-138 (2017). SpringerAlborzi SZ, Devignes M-D, Ritchie DW. Associating gene ontology terms with ...
Gene Ontology, which provides the logical structure of thebiological functions(‘terms’). It is structured as a directed acyclic graph where each term has defined relationships to one or more other terms in the same domain and sometimes to other domains. The ontology includes data on:cellular ...
The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://w...
The conserved domains have been retrieved from the Pfam database to examine the PdRNAi proteins functional domains. We have investigated the conserved motifs in all of the anticipated PdDCL, PdAGO, and PdRDR proteins using the Multiple Expectation Maximization for Motif Elicitation (MEME) webtool ...
The relative abundance of Pfam protein families and Gene Ontology (GO) involved in RDX degradation remained unchanged in the ovine rumen microbiome during ... WL Robert 被引量: 0发表: 2014年 PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context ...
Gene ontology terms assigned to the 1,801 mapped spruce genes at the level 3 of the (A) molecular functions and (B) biological processes. Only categories including five genes or more are represented. (PDF 189 KB) Additional file 6: Gene families and number of genes mapped on the spruce ...
The TopoICSim algorithm was evaluated on two human benchmark datasets based on KEGG pathways and Pfam domains grouped as clans, using GO terms from either the biological process or molecular function. The performance of the TopoICSim measure compared favorably to five existing methods. Furthermore,...
Functional analysis of candidate HGTs. (A) Most common PFAM protein domains in the set of candidate HGTs. (B) Gene ontology functions enriched in the set of putative HGTs. Enrichment p-values (p ≤ 0.05) for selected functions are shown. (C) Number of candidate HGTs with associated fu...
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in this study we only consider the subset of data points that have a particular property of interest. Properties may either be functional designations, as provided through Gene Ontology (GO-terms [34]) or hidden Markov models for protein domains (HMMs [35]). If the subset shows an inhomogen...