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Molecular Sequence Annotation

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Detecting Essential Proteins Based on Network Topology, Gene Expression Data, and Gene Ontology Information.

IEEE/ACM transactions on computational biology and bioinformatics
The identification of essential proteins in protein-protein interaction (PPI) networks is of great significance for understanding cellular processes. With the increasing availability of large-scale PPI data, numerous centrality measures based on netw...

Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.

IEEE/ACM transactions on computational biology and bioinformatics
Characterizing genes with semantic information is an important process regarding the description of gene products. In spite that complete genomes of many organisms have been already sequenced, the biological functions of all of their genes are still ...

ASAP: a machine learning framework for local protein properties.

Database : the journal of biological databases and curation
Determining residue-level protein properties, such as sites of post-translational modifications (PTMs), is vital to understanding protein function. Experimental methods are costly and time-consuming, while traditional rule-based computational methods...

Skeleton Genetics: a comprehensive database for genes and mutations related to genetic skeletal disorders.

Database : the journal of biological databases and curation
Genetic skeletal disorders (GSD) involving the skeletal system arises through disturbances in the complex processes of skeletal development, growth and homeostasis and remain a diagnostic challenge because of their clinical heterogeneity and genetic ...

TopoICSim: a new semantic similarity measure based on gene ontology.

BMC bioinformatics
BACKGROUND: The Gene Ontology (GO) is a dynamic, controlled vocabulary that describes the cellular function of genes and proteins according to tree major categories: biological process, molecular function and cellular component. It has become widely ...

FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.

Journal of biomedical semantics
BACKGROUND: Nucleotide and protein sequence feature annotations are essential to understand biology on the genomic, transcriptomic, and proteomic level. Using Semantic Web technologies to query biological annotations, there was no standard that descr...

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update.

Nucleic acids research
Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gen...

Protein-protein interaction inference based on semantic similarity of Gene Ontology terms.

Journal of theoretical biology
Identifying protein-protein interactions is important in molecular biology. Experimental methods to this issue have their limitations, and computational approaches have attracted more and more attentions from the biological community. The semantic si...

g:Profiler-a web server for functional interpretation of gene lists (2016 update).

Nucleic acids research
Functional enrichment analysis is a key step in interpreting gene lists discovered in diverse high-throughput experiments. g:Profiler studies flat and ranked gene lists and finds statistically significant Gene Ontology terms, pathways and other gene ...

Extending gene ontology in the context of extracellular RNA and vesicle communication.

Journal of biomedical semantics
BACKGROUND: To address the lack of standard terminology to describe extracellular RNA (exRNA) data/metadata, we have launched an inter-community effort to extend the Gene Ontology (GO) with subcellular structure concepts relevant to the exRNA domain....