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 @@ -1,102 +1,102 @@
This track displays the conservation between the human and mouse genomes for 50 bp windows in the human genome that have at least 15 bp aligned to mouse. The score for a window reflects the probability that the level of observed conservation in that 50 bp region would occur by chance under neutral evolution. It is given on a logarithmic scale, and thus it is called the "L-score". An L-score of 1 means there is a 1/10 probability that the observed conservation level would occur by chance, an L-score of 2 means a 1/100 probability, an L-score of 3 means a 1/1000 probability, etc. The L-scores display as "mountain ranges". Clicking on a mountain range, a detail page is displayed from which you can access the base level alignments, both for the whole region and for the individual 50 bp windows.
Genome-wide alignments between human and mouse were produced by
blastz. A set of 50 bp windows in the human genome were determined
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
L-score Frequentist probability Bayesian probability of this L-score or greater that window with this given neutral evolution L-score is under selection ------------------------------------------------------------------ 1 0.1 0.32 2 0.01 0.75 3 0.001 0.94 4 0.0001 0.97 5 0.00001 0.98 6 0.000001 0.99 7 0.0000001 >0.99 8 0.00000001 >0.99
The track filter can be used to configure some of the display characteristics of the track.
Thanks to Webb Miller and Scott Schwartz for creating the blastz alignments, Jim Kent for post-processing them, and Mark Diekhans for scoring the windows and selecting out the ancestral repeats. Krishna Roskin created S-scores for these windows. Ryan Weber computed the CDF for these S-scores, and created the remaining track display functions. Mouse sequence data are provided by the Mouse Genome Sequencing Consortium.