6254a2f3273acb0889ba875ffab273f0099cea16
galt
  Tue May 21 00:17:23 2019 -0700
Fixe problems found by htmlCheck validate and hgNearTest robot

diff --git src/hg/makeDb/trackDb/human/humMusL.html src/hg/makeDb/trackDb/human/humMusL.html
index 15e973b..cfd0e35 100644
--- src/hg/makeDb/trackDb/human/humMusL.html
+++ src/hg/makeDb/trackDb/human/humMusL.html
@@ -21,31 +21,31 @@
    by scanning the sequence, sliding 5 bases at a time, and only those
    windows with at least 15 aligned bases were kept. For each window,
    a conservation score defined by
 <br><br>
 <center>
    S = sqrt(n/m(1-m))(p-m)
 </center>
 <br>
    was calculated, where n is the number of aligning bases in the
    window, p is the percent identity between human and mouse for these
    aligning bases, and m is the average percent identity for aligned
    neutrally evolving bases in a larger region surrounding the 50 bp
    window being scored. Neutral bases were taken from ancestral repeat
    sequences, which are relics of transposons that were inserted before
    the human-mouse split. To transform S into an L-score, the empirical
-   cumulative distribution function CDF(S) = P(x < S)
+   cumulative distribution function CDF(S) = P(x &lt; S)
    is computed from the scores of all windows genome-wide, and
    the L-score is defined as
 <br><br>
 <center>
    L = -log_10(1 - CDF(S)).
 </center>
 <br>
 <br>
 The L-score
 provides a frequentist confidence assessment. A Bayesian
 calculation of the probability that a window is under
 selection can also be made using a mixture decomposition of
 the empirical density of the scores for all windows
 genome-wide into a neutral and a selected component. Details
 are given in a manuscript in preparation. The results are