Meta-DP: Domain prediction meta-server

Harpreet Kaur Saini; Daniel Fischer

doi:10.1093/bioinformatics/bti445

Meta-DP: Domain prediction meta-server

Harpreet Kaur Saini
, Daniel Fischer

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

Abstract

Summary: Meta-DP, a domain prediction meta-server provides a simple interface to predict domains in a given protein sequence using a number of domain prediction methods. The Meta-DP is a convenient resource because through accessing a single site, users automatically obtain the results of the various domain prediction methods along with a consensus prediction. The Meta-DP is currently coupled to 10 domain prediction servers and can be extended to include any number of methods. Meta-DP can thus become a centralized repository of available methods. Meta-DP was also used to evaluate the performance of 13 domain prediction methods in the context of CAFASP-DP.

Original language	English
Pages (from-to)	2917-2920
Number of pages	4
Journal	Bioinformatics
Volume	21
Issue number	12
DOIs	https://doi.org/10.1093/bioinformatics/bti445
State	Published - 15 Jun 2005

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

Access to Document

10.1093/bioinformatics/bti445

Cite this

@article{325804097b3c424db00226f266280eff,

title = "Meta-DP: Domain prediction meta-server",

abstract = "Summary: Meta-DP, a domain prediction meta-server provides a simple interface to predict domains in a given protein sequence using a number of domain prediction methods. The Meta-DP is a convenient resource because through accessing a single site, users automatically obtain the results of the various domain prediction methods along with a consensus prediction. The Meta-DP is currently coupled to 10 domain prediction servers and can be extended to include any number of methods. Meta-DP can thus become a centralized repository of available methods. Meta-DP was also used to evaluate the performance of 13 domain prediction methods in the context of CAFASP-DP.",

author = "Saini, \{Harpreet Kaur\} and Daniel Fischer",

note = "Funding Information: We thank Dr Maria Krestyaninova at EBI for her help in understanding the InterProScan output. This work was partially supported by the GENEFUN European Union Grant.",

year = "2005",

month = jun,

day = "15",

doi = "10.1093/bioinformatics/bti445",

language = "English",

volume = "21",

pages = "2917--2920",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "12",

}

TY - JOUR

T1 - Meta-DP

T2 - Domain prediction meta-server

AU - Saini, Harpreet Kaur

AU - Fischer, Daniel

N1 - Funding Information: We thank Dr Maria Krestyaninova at EBI for her help in understanding the InterProScan output. This work was partially supported by the GENEFUN European Union Grant.

PY - 2005/6/15

Y1 - 2005/6/15

N2 - Summary: Meta-DP, a domain prediction meta-server provides a simple interface to predict domains in a given protein sequence using a number of domain prediction methods. The Meta-DP is a convenient resource because through accessing a single site, users automatically obtain the results of the various domain prediction methods along with a consensus prediction. The Meta-DP is currently coupled to 10 domain prediction servers and can be extended to include any number of methods. Meta-DP can thus become a centralized repository of available methods. Meta-DP was also used to evaluate the performance of 13 domain prediction methods in the context of CAFASP-DP.

AB - Summary: Meta-DP, a domain prediction meta-server provides a simple interface to predict domains in a given protein sequence using a number of domain prediction methods. The Meta-DP is a convenient resource because through accessing a single site, users automatically obtain the results of the various domain prediction methods along with a consensus prediction. The Meta-DP is currently coupled to 10 domain prediction servers and can be extended to include any number of methods. Meta-DP can thus become a centralized repository of available methods. Meta-DP was also used to evaluate the performance of 13 domain prediction methods in the context of CAFASP-DP.

UR - https://www.scopus.com/pages/publications/20844435796

U2 - 10.1093/bioinformatics/bti445

DO - 10.1093/bioinformatics/bti445

M3 - Article

C2 - 15840708

AN - SCOPUS:20844435796

SN - 1367-4803

VL - 21

SP - 2917

EP - 2920

JO - Bioinformatics

JF - Bioinformatics

IS - 12

ER -

Meta-DP: Domain prediction meta-server

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this