4fa04b06c8c9e1627bb6bedef9e78a02fc4ceb60 mspeir Sat Sep 26 16:25:41 2026 -0700 minor tewaks to wording; removing oreganno refs; removing params from hgTracks links so they use users cart, refs #24610 diff --git src/hg/htdocs/FAQ/FAQregulation.html src/hg/htdocs/FAQ/FAQregulation.html index 611ee9f2595..22999c560f5 100755 --- src/hg/htdocs/FAQ/FAQregulation.html +++ src/hg/htdocs/FAQ/FAQregulation.html @@ -29,38 +29,34 @@

Return to FAQ Table of Contents

The assembly names after each track are links. They open that track's description page on that assembly, which gives the methods, the data version and the citation. Coverage varies a lot between assemblies, so check the list before you assume a track exists on the genome you work with.

The basics

The Genome Browser carries a large number of tracks that annotate regulatory regions. Most of them are in the Regulation track group, which you will find below the browser image on -the main browser page. It is not always obvious which -one you want, because these tracks answer quite different questions even when they all look -like boxes on the screen.

+the main browser page.

What is the difference between measured and predicted binding sites?

-Nearly every question we get about these tracks comes down to this distinction.

-

A measured binding site comes from an experiment, usually ChIP-seq, in which one protein was pulled down in one cell type under one set of conditions. The site is real in the sense that the factor was found there in that experiment. It tells you nothing about other cell types, and the experiment has to have been done for your factor and your tissue for the data to exist at all.

A predicted binding site comes from scanning the genome sequence for a motif, the sequence theme a given factor prefers, usually stored as a position weight matrix and not a single spelling. Predictions exist everywhere in the genome for every factor with a known motif, regardless of cell type, and most of them are not bound in vivo. A typical transcription factor motif occurs hundreds of thousands of times in the human genome, while the factor binds only a few thousand of those positions in any given cell.

Neither kind is better than the other. To find out where a factor was actually found, use a @@ -104,55 +100,42 @@ motif display, with the sequence logo and the matrix behind the score. The track holds several JASPAR releases as separate subtracks, so check which one you have turned on before you quote a version. JASPAR 2026 is on hg38, mm39, danRer11, galGal6, dm6, ce11, ci3 and sacCer3. On hg19 and mm10 the newest release is JASPAR 2024. -

-Two older tracks still come up in questions. TFBS Conserved shows predicted -sites that are conserved across human, mouse and rat, on -hg17, -hg18 and -hg19 only; it has not been updated in -many years and -there is no hg38 version. ORegAnno is a curated collection of regulatory -elements taken from the literature, so it is small but every entry has a citation, on -hg19, -hg38, -mm10 and -dm6.

I cannot find my transcription factor in any track. Where else can I look?

First check whether the experiment simply has not been done. ReMap covers the published ChIP-seq experiments that were available when it was built, so if your factor is absent from ReMap there may be no public ChIP-seq for it in that organism. The ReMap website lets you search by target and download the peaks per factor, and that is the quickest way to check.

If the experiment exists but is newer than our tracks, or was done in a cell type we do not -carry, you will need to bring the data in yourself. The usual sources are:

+carry, you will need to load the data yourself as a custom track. The usual sources are: