diff --git a/doc/scripts.rst b/doc/scripts.rst
index 2e79962a..80644b4a 100644
--- a/doc/scripts.rst
+++ b/doc/scripts.rst
@@ -1,17 +1,36 @@
Additional scripts
==================
-refFlat2bed.py
- Generate a BED file of the genes or exons in the reference genome given in
- UCSC refFlat.txt format.
- This script can be used in case the original BED file of targeted intervals
- is unavailable. Subsequent steps of the pipeline will remove probes that
- did not receive sufficient coverage, including those exons or genes that
- were not targeted by the sequencing library. However, better results are
- expected from CNVkit if the true targeted intervals can be provided.
-
genome2access.py:
Calculate the sequence-accessible coordinates in chromosomes from the given
reference genome, treating long spans of 'N' characters as the inaccessible
regions.
+ CNVkit will compute "antitarget" bins only within the accessible genomic
+ regions specified in the "access" file produced by this script. If there are
+ many small excluded/inaccessible regions in the genome, then small,
+ less-reliable antitarget bins would be squeezed into the remaining
+ accessible regions. The ``-s`` option tells the script to ignore short
+ regions that would otherwise be excluded as inaccessible, allowing larger
+ antitarget bins to overlap them.
+
+ Additional regions to exclude can also be given with the ``-x`` option. This
+ option can be used more than once to exclude several BED files listing
+ different sets of regions. For example, "excludable" regions of poor
+ mappability have been precalculated by others and are available from the
+ `UCSC FTP Server `_
+ (see `here for hg19
+ `_).
+
+
+refFlat2bed.py
+ Generate a BED file of the genes or exons in the reference genome given in
+ UCSC refFlat.txt format. (Download the input file from `UCSC Genome
+ Bioinformatics `_).
+
+ This script can be used in case the original BED file of targeted intervals
+ is unavailable. Subsequent steps of the pipeline will remove probes that
+ did not receive sufficient coverage, including those exons or genes that
+ were not targeted by the sequencing library. However, CNVkit will give much
+ better results if the true targeted intervals can be provided.
+
diff --git a/scripts/genome2access.py b/scripts/genome2access.py
index e9c439d1..07f477e9 100755
--- a/scripts/genome2access.py
+++ b/scripts/genome2access.py
@@ -174,7 +174,7 @@ def next_or_inf(iterable):
AP = argparse.ArgumentParser(description=__doc__)
AP.add_argument("fa_fname",
help="Genome FASTA file name")
- AP.add_argument("-s", "--min-gap-size", type=int, default=100,
+ AP.add_argument("-s", "--min-gap-size", type=int, default=5000,
help="""Minimum gap size between accessible sequence
regions. Regions separated by less than this distance will
be joined together. [Default: %(default)s]""")