MONSTER: Minnesota prOteiN Sequence annotaTion servER
2008-04-01
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
MONSTER: Minnesota prOteiN Sequence annotaTion servER
Authors
Published Date
2008-04-01
Publisher
Type
Report
Abstract
Summary: MONSTER is a server for predicting the local structure and function properties of protein sequences. MONSTER provides residue-wise annotation services, that include secondary structure, transmembrane-helix region, disorder region, protein-dna binding site, local structure alphabet, solvent accessibility surface area, and residue-wise contact order prediction. MONSTER uses sequence-derived information (in the form of PSI-BLAST profiles), a window-based encoding scheme with an accurate kernel function to perform the classification or estimation. The user provides an amino acid sequence and selects the desired predictions, and submits a job to the MONSTER server. The results are emailed to the user as a link directing the user to a well formatted HTML output page.
Availability: http://bio.dtc.umn.edu/monster
Keywords
Description
Related to
Replaces
License
Series/Report Number
Technical Report; 08-010
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Rangwala, Huzefa; Karypis, George. (2008). MONSTER: Minnesota prOteiN Sequence annotaTion servER. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215753.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.