TY - JOUR
T1 - Oligonucleotide mapping
T2 - Evaluation of its sensitivity by computer-simulation
AU - Aaronson, Robert Peter
AU - Young, James F.
AU - Palese, Peter
N1 - Funding Information:
ACKNOWLEDGMENTS We would like to thank Mr. Douglas Dorph and Dr. Ford Calhoun for Jis-cussion and advice. We would also like to acknowledge the stnff of the University Computer Center of the City University of (lew York. This work was supported in part by grants fron the National Science Foundation (PCM78-07844), the National Institutes of Health (AI-11023), ami the American Cancer Society (MV-23A). R.P.A. is a recipient of a Research Career Development Award from the HIM (GriO27e), J.F.Y. ic a recipient of a Sin-
PY - 1982/1/11
Y1 - 1982/1/11
N2 - A frequently used method of comparing large RNA molecules employs the two-dimensional display of oligonucleotides generated through the action of specific RNases (oligonucleotide mapping, fingerprinting). Using computer simulations and simple analytic expressions the number of large RNase T1-resistant oligonucleotides obtained from random RNA sequences can be estimated. The computer simulations also permit estimation of the number of large oligonucleotides which remain unchanged as random variations are introduced into a random RNA sequence. In addition, computer analysis also provides a means of estimating statistical confidence limits to be used in a quantitative comparison of fingerprints of different RNA molecules. The model shows that two RNA sequences which differ overall by 1%, 5% or 10% share, on average, only 85%, 50% or 25%, respectively, of their large oligonucleotides. Thus, the use of fingerprint analysis is recommended only when closely related RNAs or regions of RNAs are compared (sequence homology greater than 90%).
AB - A frequently used method of comparing large RNA molecules employs the two-dimensional display of oligonucleotides generated through the action of specific RNases (oligonucleotide mapping, fingerprinting). Using computer simulations and simple analytic expressions the number of large RNase T1-resistant oligonucleotides obtained from random RNA sequences can be estimated. The computer simulations also permit estimation of the number of large oligonucleotides which remain unchanged as random variations are introduced into a random RNA sequence. In addition, computer analysis also provides a means of estimating statistical confidence limits to be used in a quantitative comparison of fingerprints of different RNA molecules. The model shows that two RNA sequences which differ overall by 1%, 5% or 10% share, on average, only 85%, 50% or 25%, respectively, of their large oligonucleotides. Thus, the use of fingerprint analysis is recommended only when closely related RNAs or regions of RNAs are compared (sequence homology greater than 90%).
UR - http://www.scopus.com/inward/record.url?scp=0020075754&partnerID=8YFLogxK
U2 - 10.1093/nar/10.1.237
DO - 10.1093/nar/10.1.237
M3 - Article
C2 - 7063400
AN - SCOPUS:0020075754
SN - 0305-1048
VL - 10
SP - 237
EP - 246
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - 1
ER -