NestedMICA as an ab initio protein motif discovery tool
نویسندگان
چکیده
منابع مشابه
The NestedMICA motif inference tool
NestedMICA is a sensitive, scalable, pattern-discovery system, aimed at finding transcription factor binding sites and similar motifs in biological sequence. More discussion of the principles behind NestedMICA, and an evaluation of its sensitivity can be found in a recent paper [?]. If you have any problems or questions about the system, please contact Thomas Down.
متن کاملThe NestedMICA motif finder
NestedMICA is a new, scalable, pattern-discovery system, aimed at finding transcription factor binding sites and similar motifs in biological sequence. More discussion of the principles behind NestedMICA, and an evaluation of its sensitivity can be found in a recent paper [1]. If you have any problems or questions about the system, please contact Thomas Down.
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Article history: Received 17 October 2008 Received in revised form 3 February 2009 Accepted 10 February 2009 Available online 14 February 2009 PACS: 71.35.-y 71.15.-m 71.45.Gm 71.15.Qe
متن کاملAb Initio Protein Structure Prediction
Predicting protein 3D structures from the amino acid sequence still remains as an unsolved problem after five decades of efforts. If the target protein has a homologue already solved, the task is relatively easy and high-resolution models can be built by copying the framework of the solved structure. However, such a modelling procedure does not help answer the question of how and why a protein ...
متن کاملThe SiteSeeker Motif Discovery Tool
In this paper we describe some utilizing conditions of a recently published tool that offers two basic functions for the classical problem of discovering motifs in a set of promoter sequences. For the first it is assumed that not necessarily all of the sequences possess a common motif of given length l. In this case, CHECKPROMOTER allows an exact identification of maximal subsets of related pro...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2008
ISSN: 1471-2105
DOI: 10.1186/1471-2105-9-19