TY  - JOUR
AB  - Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, independent benchmarking of these algorithms is rarely performed as is now common practice for protein-folding, gene-finding and multiple-sequence-alignment algorithms. Results: Here we evaluate a number of RNA folding algorithms using reliable RNA data-sets and compare their relative performance. Conclusions: We conclude that comparative data can enhance structure prediction but structure-prediction-algorithms vary widely in terms of both sensitivity and selectivity across different lengths and homologies. Furthermore, we outline some directions for future research.
DA  - 2004
DO  - 10.1186/1471-2105-5-140
LA  - eng
IS  - 1
PY  - 2004
SN  - 1471-2105
T2  - BMC Bioinformatics
TI  - A comprehensive comparison of comparative RNA structure prediction approaches
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-17737476
Y2  - 2024-11-22T02:56:48
ER  -