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Sequence Comparison.pdf

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7.2 Ungapped Local Alignment Scores 129<br />

liminf (1 −<br />

x→∞<br />

F(x))eλx ≥ liminf (1 −<br />

x→∞ F(⌈x⌉))eλ⌈x⌉ = C<br />

e λ − 1 = C′ .<br />

On the other hand, because limsup x→∞ x −⌊x⌋ = 1,<br />

limsup (1 − F(x))e λx ≤ lim (1 − F(⌊x⌋))e ⌊x⌋ e λ(x−⌊x⌋) ≤<br />

C<br />

x→∞<br />

x→∞ e λ − 1 eλ = C ′ e λ .<br />

Replacing x by ln(m)/λ + y, (7.29) becomes<br />

Pr[M(K m ) ≤ ln(m)/λ + y]=(F(ln(m)/λ + y)) m =<br />

1<br />

exp{−mln(F(ln(m)/λ + y))} .<br />

lnz<br />

Using lim z→1 z−1<br />

= 1, we obtain<br />

limsup Pr[M(K m ) ≤ ln(m)/λ + y]<br />

m→∞<br />

1<br />

= limsup<br />

m→∞ exp{−mln(F(ln(m)/λ + y))}<br />

1<br />

=<br />

liminf m→∞ exp{m(1 − F(ln(m)/λ + y))}<br />

1<br />

≤<br />

liminf m→∞ exp { mC ′ e −(ln(m)+λy)}<br />

{<br />

= exp −C ′ e −λy} .<br />

Similarly,<br />

liminf Pr[M(K m) ≤ ln(m)/λ + y]<br />

m→∞<br />

1<br />

= liminf<br />

m→∞ exp{−mln(F(ln(m)/λ + y))}<br />

1<br />

=<br />

limsup m→∞ exp{m(1 − F(ln(m)/λ + y))}<br />

1<br />

≥<br />

limsup m→∞ exp { mC ′ e λ e −(ln(m)+λy)}<br />

{<br />

= exp −C ′ e λ e −λy} .<br />

Hence, the lemma is proved.<br />

⊓⊔<br />

Now consider the accumulative score walk W corresponding to an ungapped<br />

alignment of length n.Let

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