RepSeq – A database of amino acid repeats present in lower eukaryotic pathogens

RepSeq – A database of amino acid repeats present in lower eukaryotic pathogens

11 April 2007 | Daniel P Depledge*, Ryan PJ Lower† and Deborah F Smith†
RepSeq is a database of amino acid repeats in lower eukaryotic pathogens. It allows identification of repeat-containing proteins in proteomes, with the ability to distinguish between different repeat types. The database provides tools for proteome analysis and enables users to upload sequences for analysis. The RepSeq algorithm identifies both perfect and mismatch repeats, with high accuracy in detecting repeat-containing proteins. It is capable of identifying various repeat types, including Sequence Repeat Regions (SRRs), Di-Peptide Repeats (DPRs), and Single Amino Acid Repeats (SAARs). The database is accessible via a web interface and includes a variety of search options. It has been tested on various data sets and has shown high accuracy in identifying repeat-containing proteins. The database includes proteomes from various lower eukaryotic pathogens, including Plasmodium, Leishmania, and Dictyostelium. The RepSeq database is a valuable resource for studying amino acid repeats in parasitic protozoa, providing insights into pathogenicity and virulence factors. It is also useful for studying other biological processes such as neurodegenerative diseases. The database is freely accessible and can be used for a wide range of studies.RepSeq is a database of amino acid repeats in lower eukaryotic pathogens. It allows identification of repeat-containing proteins in proteomes, with the ability to distinguish between different repeat types. The database provides tools for proteome analysis and enables users to upload sequences for analysis. The RepSeq algorithm identifies both perfect and mismatch repeats, with high accuracy in detecting repeat-containing proteins. It is capable of identifying various repeat types, including Sequence Repeat Regions (SRRs), Di-Peptide Repeats (DPRs), and Single Amino Acid Repeats (SAARs). The database is accessible via a web interface and includes a variety of search options. It has been tested on various data sets and has shown high accuracy in identifying repeat-containing proteins. The database includes proteomes from various lower eukaryotic pathogens, including Plasmodium, Leishmania, and Dictyostelium. The RepSeq database is a valuable resource for studying amino acid repeats in parasitic protozoa, providing insights into pathogenicity and virulence factors. It is also useful for studying other biological processes such as neurodegenerative diseases. The database is freely accessible and can be used for a wide range of studies.
Reach us at info@study.space