Academic Journal

MISTIC: mutual information server to infer coevolution

التفاصيل البيبلوغرافية
العنوان: MISTIC: mutual information server to infer coevolution
المؤلفون: Simonetti, Franco L., Teppa, Elin, Chernomoretz, Ariel, Nielsen, Morten, Marino Buslje, Cristina
بيانات النشر: Oxford University Press
سنة النشر: 2013
المجموعة: HighWire Press (Stanford University)
مصطلحات موضوعية: Articles
الوصف: MISTIC (mutual information server to infer coevolution) is a web server for graphical representation of the information contained within a MSA (multiple sequence alignment) and a complete analysis tool for Mutual Information networks in protein families. The server outputs a graphical visualization of several information-related quantities using a circos representation. This provides an integrated view of the MSA in terms of (i) the mutual information (MI) between residue pairs, (ii) sequence conservation and (iii) the residue cumulative and proximity MI scores. Further, an interactive interface to explore and characterize the MI network is provided. Several tools are offered for selecting subsets of nodes from the network for visualization. Node coloring can be set to match different attributes, such as conservation, cumulative MI, proximity MI and secondary structure. Finally, a zip file containing all results can be downloaded. The server is available at http://mistic.leloir.org.ar . In summary, MISTIC allows for a comprehensive, compact, visually rich view of the information contained within an MSA in a manner unique to any other publicly available web server. In particular, the use of circos representation of MI networks and the visualization of the cumulative MI and proximity MI concepts is novel.
نوع الوثيقة: text
وصف الملف: text/html
اللغة: English
Relation: http://nar.oxfordjournals.org/cgi/content/short/41/W1/W8; http://dx.doi.org/10.1093/nar/gkt427
DOI: 10.1093/nar/gkt427
الاتاحة: http://nar.oxfordjournals.org/cgi/content/short/41/W1/W8
https://doi.org/10.1093/nar/gkt427
Rights: Copyright (C) 2013, Oxford University Press
رقم الانضمام: edsbas.7988EC27
قاعدة البيانات: BASE