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Ramapo College Bioinformatics Group
GRSDB - The 'G'-Rich Sequences Database

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Search Help Glossary of terms Understanding G-Scores Dealing with overlaps

Glossary of the terms used in GRSDB

Term

Definition

G-Group

The set of G's that form the foundation for the G-quadruplex structure. There are four such groups in a quadruplex. Each group will be of the same size in a particular quadruplex, and in any case must contain at least two G's.

G-Score

Each QGRS is assigned a score based on a system (1)which rewards an arrangement of ‘G's that is likely to form a unimolecular quadruplex. For calculation of G-scores, the size and distribution of the gaps in the predicted QGRS is taken into consideration. Also, the larger size of the G-groups, the higher the score. For example, for a QGRS with G-groups of size two, the maximum possible score is 1.

Gap or Loop

The part of a QGRS that lies between two G-groups. For example, in the QGRS, (GG)GTA(GG)C(GG)TGA(GG), the four G-groups are in parentheses, so the three gaps are GTA, C, TGA. Note: up to one gap may be of length zero.

GRS

General term for a G-Rich Sequence.

G-Quadruplex

A three dimensional structure consisting of tetrads of G's connected by Hoogsteen bonds. Each tetrad is formed by taking one G from each G-group. The size of the G-group determines the number of tetrads found in the quadruplex.

QGRS

GRS that have the potential to form G-Quadruplex. The pattern for a QGRS is four groups of G's connected by arbitrary bases between each group.

Near RNA Processing Sites

A QGRS is defined to be near an RNA processing sites if it's starting position is within 120 nucleotides of the site. Exception: This distance is 150 nt downstream of a polyA signal

Non-overlapping QGRS

Two sequences are said to be non-overlapping if their positions in the nucleotide sequence do not overlap. The default action of GRSDB is to only display non-overlapping sequences (although the user can show all sequences if they choose).

Overlapping QGRS

Two QGRS are said to overlap if their positions in the nucleotide sequence overlap. Overlaps are eliminated by selecting for higher scoring sequence.

1. D'Antonio,L. and Bagga,P.S. (2004) Computational methods for predicting intramolecular G-quadruplexes in nucleotide sequences. Computational Systems Bioinformatics, CSB 2004. Proceedings . 2004 IEEE, Pages:561-562.


Search Help Glossary of terms Understanding G-Scores Dealing with overlaps
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