RNA secondary structure prediction is one of the major topics in bioinformatics. A prediction method based on a parsing algorithm for formal grammars is a promising approach. Also, it is expected that comparative sequence analysis achieves higher accuracy than the one using a single sequence since the former approach can use evolutionary information that homologous RNAs are likely to conserv
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biochemistry & Bio...
It is of great signicance to develop an ecient software system for higher-level structural predictio...
Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell’s ...
Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell’s ...
RNA secondary structures are important in many biological processes and efficient structure predicti...
Includes bibliographical references (p. 58-62)RNA, once considered to be just a carrier of genetic i...
This thesis develops probabilistic models of RNA secondary structure. The first chapter introduces R...
Reeder J. Algorithms for RNA secondary structure analysis : prediction of pseudoknots and the consen...
In this thesis, various algorithmic approaches to the RNA secondary structure prediction problem are...
Motivation: Today many non-coding RNAs are known to play an active role in various important biologi...
BACKGROUND: Stochastic Context-Free Grammars (SCFGs) were applied successfully to RNA secondary stru...
Our understanding of the functions played by RNA molecules is expanded with the understanding of RNA...
This thesis develops probabilistic models of RKA secondary structure. The first chapter introduces R...
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biochemistry & Bio...
It is of great signicance to develop an ecient software system for higher-level structural predictio...
Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell’s ...
Pseudoknots are a frequent RNA structure that assumes essential roles for varied biocatalyst cell’s ...
RNA secondary structures are important in many biological processes and efficient structure predicti...
Includes bibliographical references (p. 58-62)RNA, once considered to be just a carrier of genetic i...
This thesis develops probabilistic models of RNA secondary structure. The first chapter introduces R...
Reeder J. Algorithms for RNA secondary structure analysis : prediction of pseudoknots and the consen...
In this thesis, various algorithmic approaches to the RNA secondary structure prediction problem are...
Motivation: Today many non-coding RNAs are known to play an active role in various important biologi...
BACKGROUND: Stochastic Context-Free Grammars (SCFGs) were applied successfully to RNA secondary stru...
Our understanding of the functions played by RNA molecules is expanded with the understanding of RNA...
This thesis develops probabilistic models of RKA secondary structure. The first chapter introduces R...
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Motivation: Since the whole genome sequences of many species have been determined, computational pre...
Thesis (Ph.D.)--University of Rochester. School of Medicine & Dentistry. Dept. of Biochemistry & Bio...