GTfold: Enabling parallel RNA secondary structure prediction on multi-core desktops
نویسندگان
چکیده
منابع مشابه
RNA Secondary Structure Prediction.
In this unit, protocols are provided for predicting RNA secondary structure with the user-friendly RNAstructure desktop computer program and the RNAstructure Web server. The minimum free energy structure and a set of suboptimal structures with similar free energies are predicted. Prediction of high-affinity oligonucleotide binding sites to a structured RNA target is also presented. © 2016 by Jo...
متن کاملRna Secondary Structure Prediction
Understanding secondary structures of RNAs helps to determine their chemical and biological properties. Only a small number of RNA structures have been determined currently since such structure determination experiments are timeconsuming and expensive. As a result, scientists start to rely on RNA secondary structure prediction. Unlike protein structure prediction, predicting RNA secondary struc...
متن کاملRNA Secondary Structure Prediction Algorithms
RNA secondary structure prediction is an important problem studied extensively in the past three dacades. However, pseudoknots are usually excluded in RNA secondary structure prediction due to the hardness of examining all possible structures efficiently and model the energy correctly. Current algorithms on predicting structures with pseudoknots usually have extremely high resource requirements...
متن کاملRNA secondary structure prediction from multi-aligned sequences.
It has been well accepted that the RNA secondary structures of most functional non-coding RNAs (ncRNAs) are closely related to their functions and are conserved during evolution. Hence, prediction of conserved secondary structures from evolutionarily related sequences is one important task in RNA bioinformatics; the methods are useful not only to further functional analyses of ncRNAs but also t...
متن کاملRNA-SSPT: RNA Secondary Structure Prediction Tools
The prediction of RNA structure is useful for understanding evolution for both in silico and in vitro studies. Physical methods like NMR studies to predict RNA secondary structure are expensive and difficult. Computational RNA secondary structure prediction is easier. Comparative sequence analysis provides the best solution. But secondary structure prediction of a single RNA sequence is challen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Research Notes
سال: 2012
ISSN: 1756-0500
DOI: 10.1186/1756-0500-5-341