Background: Despite significant efforts from the research community, an extensive portion of the proteins encoded by human genes lack an assigned cellular function. Most metazoan proteins are composed of structural and/or functional domains, of which many appear in multiple proteins. Once a domain is characterized in one protein, the presence of a similar sequence in an uncharacterized protein serves as a basis for inference of function. Thus knowledge of a domain's function, or the protein within which it arises, can facilitate the analysis of an entire set of proteins. Description: From the Pfam domain database, we extracted uncharacterized protein domains ...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
Availability of the human genome data has enabled the exploration of a huge amount of biological inf...
Background: Despite significant efforts from the research community, an extensive portion of the pro...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
<p>Investigations into the origin and evolution of regulatory mechanisms require quantitative estima...
International audienceTraditional protein annotation methods describe known domains with probabilist...
A systematic computational analysis of protein sequences containing known nuclear domains led to the...
International audienceTraditional protein annotation methods describe known domains with probabilist...
International audienceTraditional protein annotation methods describe known domains with probabilist...
Investigations into the origin and evolution of regulatory mechanisms require quantitative estimates...
Investigations into the origin and evolution of regulatory mechanisms require quantitative estimates...
The genome projects have unearthed an enormous diversity of genes of unknown function that are still...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
Motivation: Computational assignment of protein function may be the single most vital application of...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
Availability of the human genome data has enabled the exploration of a huge amount of biological inf...
Background: Despite significant efforts from the research community, an extensive portion of the pro...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
<p>Investigations into the origin and evolution of regulatory mechanisms require quantitative estima...
International audienceTraditional protein annotation methods describe known domains with probabilist...
A systematic computational analysis of protein sequences containing known nuclear domains led to the...
International audienceTraditional protein annotation methods describe known domains with probabilist...
International audienceTraditional protein annotation methods describe known domains with probabilist...
Investigations into the origin and evolution of regulatory mechanisms require quantitative estimates...
Investigations into the origin and evolution of regulatory mechanisms require quantitative estimates...
The genome projects have unearthed an enormous diversity of genes of unknown function that are still...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
Motivation: Computational assignment of protein function may be the single most vital application of...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
The number and proportion of genes with no known function are growing rapidly. To quantify this phen...
Availability of the human genome data has enabled the exploration of a huge amount of biological inf...