U.S. flag

An official website of the United States government

Display Settings:

Items per page

PMC Full-Text Search Results

Items: 10

1.
Figure 2

Figure 2. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

The two canonical forms of the IRE.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
2.
Figure 1

Figure 1. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Schematic diagram of the structure of the algorithm.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
3.
Figure 8

Figure 8. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Highest scoring motif occurrences output by RNAProfile on the Drosophila nanos dataset.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
4.
Figure 7

Figure 7. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Highest scoring motif occurrences in the GPX4 sequences combined with the selenoprotein M dataset.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
5.
Figure 5

Figure 5. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Secondary structure models of SECIS stem–loop elements: type I (left) and type II (right).

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
6.
Figure 6

Figure 6. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Highest scoring motif occurrences output by RNAProfile on the GPX4 dataset. The last region, with a significantly low fitness value, comes from a non-selenoprotein 3′-UTR.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
7.
Figure 9

Figure 9. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Highest scoring motif occurrences output by RNAProfile on the RNAse P RNA dataset, corresponding to consensus helices 8 and 9 (see also Figure ).

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
8.
Figure 3

Figure 3. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Highest scoring motif occurrences output by RNAProfile on the IRE dataset with their respective energy and fitness value. Note that the last three regions (reported in pseudogenes) have a much lower fitness value, thus very unlikely to be real IRE instances.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
9.
Figure 10

Figure 10. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

Secondary structure of human RNase P RNA [structure adapted from ()]. Numbered helices form the consensus secondary structure of the molecule, conserved (despite no sequence conservation) in bacteria throughout eukaryotes.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.
10.
Figure 4

Figure 4. From: RNAProfile: an algorithm for finding conserved secondary structure motifs in unaligned RNA sequences.

The results on the atypical IRE dataset. The first four instances, corresponding to the IREs, were included in the highest-scoring profile of four regions (and also the best two and three regions groups contained IRE instances). In the following two iterations, the best profile still contained the same four regions, plus the two shown at the bottom of the figure, unlikely to be IRE instances given the low fitness value.

Giulio Pavesi, et al. Nucleic Acids Res. 2004;32(10):3258-3269.

Display Settings:

Items per page

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center