TY - JOUR
T1 - Power-laws in the complete sequences of human genome
AU - Chen, Yaw Hwang
AU - Nyeo, Su Long
AU - Yu, Jui Ping
N1 - Funding Information:
This work was supported by the National Science Council of the Republic of China under contract No. NSC92-2112-M006-007 and by the National Center for Theoretical Sciences of the Republic of China.
PY - 2005/6
Y1 - 2005/6
N2 - The distance distributions of the four types of bases A, C, G and T in the complete sequences of human genome are shown to have long-tail power-law but short-distance exponential behaviors. However, the random sequences with identical numbers of bases show only short-distance exponential behaviors. The DNA sequence of E. coli, which is much shorter than human's, is shown to exhibit essentially exponential behavior as its corresponding random sequence. Also, DNA sequence of human's with smaller C + G content is seen to enjoy longer power-law tail in its distributions of C and G. The coefficient in the exponential decaying function shows a linear dependent with the C + G content but the decay exponent in the power-law shows no such dependence.
AB - The distance distributions of the four types of bases A, C, G and T in the complete sequences of human genome are shown to have long-tail power-law but short-distance exponential behaviors. However, the random sequences with identical numbers of bases show only short-distance exponential behaviors. The DNA sequence of E. coli, which is much shorter than human's, is shown to exhibit essentially exponential behavior as its corresponding random sequence. Also, DNA sequence of human's with smaller C + G content is seen to enjoy longer power-law tail in its distributions of C and G. The coefficient in the exponential decaying function shows a linear dependent with the C + G content but the decay exponent in the power-law shows no such dependence.
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U2 - 10.1142/S0218339005001434
DO - 10.1142/S0218339005001434
M3 - Article
AN - SCOPUS:19344369893
SN - 0218-3390
VL - 13
SP - 105
EP - 115
JO - Journal of Biological Systems
JF - Journal of Biological Systems
IS - 2
ER -