Protein sequences are the most important source of evolutionary and functional information for new proteins. In order to facilitate the computationally intensive tasks of sequence analysis, the Similarity Matrix of Proteins (SIMAP) database aims to provide a comprehensive and up-to-date dataset of the pre-calculated sequence similarity matrix and sequence-based features like InterPro domains for all proteins contained in the major public sequence databases. As of September 2007, SIMAP covers approximately 17 million proteins and more than 6 million non-redundant sequences and provides a complete annotation based on InterPro 16. Novel features of SIMAP include a new, portlet-based web portal providing multiple, structured views on retrieved ...
Background: SUPFAM database is a compilation of superfamily relationships between protein domain fam...
provides protein sequence-related information based on whole-genome analysis. The main focus of the ...
One of the fundamental challenges in computational biology is the identification of evolutionarily r...
The Similarity Matrix of Proteins (SIMAP, http://mips.gsf.de/simap/) database has been designed to m...
The prediction of protein function as well as the reconstruction of evolutionary genesis employing s...
Similarity Matrix of Proteins (SIMAP) (http://mips.gsf.de/simap) provides a database based on a pre-...
Motivation: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searc...
Motivation: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searc...
One of the principal operations in the area of bioinformatics is similarity assessment at the levels...
The Munich Information Center for Protein Sequences (MIPS at the GSF), Neuherberg, Germany, provides...
The Munich Information Center for Protein Sequences (MIPS-GSF), Neuherberg, Germany, provides protei...
Protein family databases are an important resource for biologists seeking to characterise the functi...
AbstractA set of proteins is a complex system whose elements are interrelated on the concept of sequ...
Establishment of similarities between proteins is very important for the study of the relationship b...
Modern sequencing initiatives have uncovered a large number of protein sequence data. The exponentia...
Background: SUPFAM database is a compilation of superfamily relationships between protein domain fam...
provides protein sequence-related information based on whole-genome analysis. The main focus of the ...
One of the fundamental challenges in computational biology is the identification of evolutionarily r...
The Similarity Matrix of Proteins (SIMAP, http://mips.gsf.de/simap/) database has been designed to m...
The prediction of protein function as well as the reconstruction of evolutionary genesis employing s...
Similarity Matrix of Proteins (SIMAP) (http://mips.gsf.de/simap) provides a database based on a pre-...
Motivation: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searc...
Motivation: Sequence similarity searches are of great importance in bioinformatics. Exhaustive searc...
One of the principal operations in the area of bioinformatics is similarity assessment at the levels...
The Munich Information Center for Protein Sequences (MIPS at the GSF), Neuherberg, Germany, provides...
The Munich Information Center for Protein Sequences (MIPS-GSF), Neuherberg, Germany, provides protei...
Protein family databases are an important resource for biologists seeking to characterise the functi...
AbstractA set of proteins is a complex system whose elements are interrelated on the concept of sequ...
Establishment of similarities between proteins is very important for the study of the relationship b...
Modern sequencing initiatives have uncovered a large number of protein sequence data. The exponentia...
Background: SUPFAM database is a compilation of superfamily relationships between protein domain fam...
provides protein sequence-related information based on whole-genome analysis. The main focus of the ...
One of the fundamental challenges in computational biology is the identification of evolutionarily r...