prepare releasing v0.1.8

README.md

@@ -8,11 +8,11 @@ at overlapped gene loci. Eventually, the core algorithm used in Scallop (i.e., p
 is employed to decompose the combined splice graphs to transcripts.
 
 # Release
-Latest release of meta-scallop is [v0.1.7](https://github.com/Shao-Group/meta-scallop/releases/tag/v0.1.6).
+Latest release of meta-scallop is [v0.1.8](https://github.com/Shao-Group/meta-scallop/releases/tag/v0.1.8).
 
 # Installation
 Download the source code of meta-scallop from
-[here](https://github.com/Shao-Group/meta-scallop/releases/download/v0.1.7/meta-scallop-0.1.6.tar.gz).
+[here](https://github.com/Shao-Group/meta-scallop/releases/download/v0.1.8/meta-scallop-0.1.8.tar.gz).
 meta-scallop uses additional libraries of Boost and htslib. 
 If they have not been installed in your system, you first
 need to download and install them. You might also need to

configure.ac

@@ -2,7 +2,7 @@
 # Process this file with autoconf to produce a configure script.
 
 AC_PREREQ([2.63])
-AC_INIT(meta-scallop, 0.1.7, [email protected])
+AC_INIT(meta-scallop, 0.1.8, [email protected])
 AM_INIT_AUTOMAKE()
 AC_CONFIG_SRCDIR([meta/main.cc])
 AC_CONFIG_HEADERS([config.h])

util/parameters.cc

@@ -26,7 +26,7 @@ parameters::parameters()
 	profile_dir = "";
 	verbose = 1;
 	algo = "meta-scallop";
-	version = "0.1.7";
+	version = "0.1.8";
 	max_threads = 10;
 	profile_only = false;