Source: libgclib Maintainer: Debian Med Packaging Team Uploaders: Steffen Moeller , Andreas Tille , Michael R. Crusoe Section: science Priority: optional Build-Depends: debhelper-compat (= 13), d-shlibs Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/med-team/libgclib Vcs-Git: https://salsa.debian.org/med-team/libgclib.git Homepage: https://github.com/gpertea/gclib Rules-Requires-Root: no Package: libgclib-dev Architecture: any Multi-Arch: same Section: libdevel Depends: libgclib2 (= ${binary:Version}), ${misc:Depends} Description: header files for Genome Code Lib (GCLib) This is an eclectic gathering of (mostly) C++ code which upstream used for some bioinformatics projects. The main idea is to provide lean code and efficient data structures, trying to avoid too many code dependencies of heavy libraries while minimizing production cycles (and this also implies a decent compile/build time -- looking at you, bloated configure scripts and lengthy compile times of Boost code or other heavy C++ template code..). . This code was gathered even before the C++ STL had been fully adopted as a cross-platform "standard". Since STL by itself is a bit heavier for most of the C++ needs, it is preferred to use simpler&leaner C++ classes or templates for basic strings, containers, basic algorithms etc. . Header files of Genome Code Lib. It is mainly known for being used by StringTie but with its own release cycle. Package: libgclib2 Architecture: any Multi-Arch: same Section: libs Depends: ${shlibs:Depends}, ${misc:Depends} Description: C++ library to handle biological short sequence data This is an eclectic gathering of (mostly) C++ code which upstream used for some bioinformatics projects. The main idea is to provide lean code and efficient data structures, trying to avoid too many code dependencies of heavy libraries while minimizing production cycles (and this also implies a decent compile/build time -- looking at you, bloated configure scripts and lengthy compile times of Boost code or other heavy C++ template code..). . This code was gathered even before the C++ STL had been fully adopted as a cross-platform "standard". Since STL by itself is a bit heavier for most of the C++ needs, it is preferred to use simpler&leaner C++ classes or templates for basic strings, containers, basic algorithms etc.