Semantic Scholar uses AI to extract papers important to this topic.
MyGene.info and MyVariant.info provide high-performance data APIs for querying gene and variant annotation information. They… Expand Cathepsin B like cysteine proteases representing a major component of the lysosomal proteolytic repertoire plays an important… Expand Stochastic regular motifs are evolved for protein sequences using genetic programming. The motif language, SRE-DNA, is a… Expand Automated methods of machine learning may prove to be useful in discovering biologically meaningful information hidden in the… Expand All known ABC proteins share a common hallmark domain—the highly conserved ABC domain that is also known as the nucleotide… Expand A data warehouse can be described as a collection of materialised views over distributed, heterogeneous, and autonomous sources… Expand This paper describes the Transparent Access to Multiple Bioinformatics Information Sources project, known as TAMBIS, in which a… Expand In this paper we propose new techniques to extract features from protein sequences. We then use the features as inputs for a… Expand We describe algorithms for pattern-matching and pattern-learning in TOPS diagrams (formal descriptions of protein topologies… Expand We discuss the problem of algorithmic discovery of patterns common to sets of sequences and its applications to computational… Expand