In order to improve the accessibility of genomic and proteomic information to medical researchers, we have developed a procedure to link biological information on proteins involved in diseases to the MeSH and ICD-10 disease terminologies. For this purpose, we took advantage of the manually curated disease annotations in more than 2,000 human protein entries of the UniProt KnowledgeBase. We mapped disease names extracted from the entry comment lines or from the corresponding OMIM entry to the MeSH. The method was assessed on a benchmark set of 200 manually mapped disease comment lines. We obtained a recall of 54% for 91% precision. The same procedure was used to map the more than 3,000 diseases in Swiss-Prot to MeSH with comparable efficienc...
Includes bibliographical references (l. 60-61).The number of newly discovered proteins has increased...
Abstract Background Public proteomics databases such as PeptideAtlas contain peptides and proteins i...
Discovering human disease-causing genes (disease genes in short) is one of the most challenging prob...
In order to improve the accessibility of genomic and proteomic information to medical researchers, w...
Abstract Background Although the UniProt KnowledgeBase is not a medical-oriented database, it contai...
With new generation sequencing, software tools are essential to efficiently integrate molecular biol...
Mapping of the human genome has the potential to transform the traditional methods of genetic epidem...
Optimal curation of human diseases requires an ontology or structured vocabulary that contains terms...
Tissue-based diagnostics and research is incessantly evolving with the development of new molecular ...
An attractive path forward in proteomics is to experimen-tally annotate the human protein complement...
Abstract Background The human genome has been extensively annotated with Gene Ontology for biologica...
Objective Predicting or prioritizing the human genes that cause disease, or “disease genes”, is one...
We performed a systematic, large-scale analysis of human protein complexes comprising gene products ...
There are more than 3.7 million published articles on the biological functions or disease implicatio...
Contains fulltext : 33210.pdf (publisher's version ) (Open Access)Disease gene ide...
Includes bibliographical references (l. 60-61).The number of newly discovered proteins has increased...
Abstract Background Public proteomics databases such as PeptideAtlas contain peptides and proteins i...
Discovering human disease-causing genes (disease genes in short) is one of the most challenging prob...
In order to improve the accessibility of genomic and proteomic information to medical researchers, w...
Abstract Background Although the UniProt KnowledgeBase is not a medical-oriented database, it contai...
With new generation sequencing, software tools are essential to efficiently integrate molecular biol...
Mapping of the human genome has the potential to transform the traditional methods of genetic epidem...
Optimal curation of human diseases requires an ontology or structured vocabulary that contains terms...
Tissue-based diagnostics and research is incessantly evolving with the development of new molecular ...
An attractive path forward in proteomics is to experimen-tally annotate the human protein complement...
Abstract Background The human genome has been extensively annotated with Gene Ontology for biologica...
Objective Predicting or prioritizing the human genes that cause disease, or “disease genes”, is one...
We performed a systematic, large-scale analysis of human protein complexes comprising gene products ...
There are more than 3.7 million published articles on the biological functions or disease implicatio...
Contains fulltext : 33210.pdf (publisher's version ) (Open Access)Disease gene ide...
Includes bibliographical references (l. 60-61).The number of newly discovered proteins has increased...
Abstract Background Public proteomics databases such as PeptideAtlas contain peptides and proteins i...
Discovering human disease-causing genes (disease genes in short) is one of the most challenging prob...