-
Notifications
You must be signed in to change notification settings - Fork 6
/
README.txt
65 lines (45 loc) · 2.09 KB
/
README.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
Bisulfighter: a pipeline for accurate detection of methylated cytosines and differentially methylated regions
Bisulfighter (http://epigenome.cbrc.jp/bisulfighter)
by National Institute of Advanced Industrial Science and Technology (AIST)
is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
http://creativecommons.org/licenses/by-nc-sa/3.0/
Toutai Mituyama <mituyama-toutai at aist dot go dot jp>
Computational Biology Research Center
National Institute for Advanced Industrial Science and Technology (AIST)
--------------------------------------------
I. PREREQUISITS
1) LAST alignment program
Please get it from the original distribution at http://last.cbrc.jp/
2) Python (2.4.x)
Bisulfighter scripts are written in Python.
3) R (optional)
bsf-diff uses R.
4) Boost C++ library
ComMet requires Boost C++ library.
http://www.boost.org/
II. PACKAGE COMPONENTS
1) bsf-call
One of the major components of Bisulfighter, which is a python script for mC-call pipeline perfoms:
a) short read mapping with LAST
b) mC detection and mC rate estimation
2) ComMet
A HMM-based differentially methylated region (DMR) identifier.
3) bsf-diff
An optional component for DMR identification using statistical test and signal smoothing.
This program is not officially released. You can use this one but we are not going to provide details about this.
4) script
Scripts to generate simulated reads for differentially methylated
cytosines and differentially methylated reagions.
5) demo
Scripts to perform a simple demonstration of bsf-call and ComMet.
III. INSTALLATION
1) bsf-call
You can place it anywhere you want but bsf-call comsumes great amount of
disk sapce for its working directory. So it is better to place it on a
high-performance large disk volume.
bsf-call comsumes large physical memory space while it perfoms LAST
alignments because its database resides on-memory entirely.
For example, 30GB or more is recommended for hg19 human genome.
2) ComMet
You can place its executable "ComMet" anywhere you want.
EOT