%global _empty_manifest_terminate_build 0 Name: python-ANNOgesic Version: 1.1.14 Release: 1 Summary: ANNOgesic - A tool for bacterial/archaeal RNA-Seq based genome annotations License: ISC License (ISCL) URL: https://github.com/Sung-Huan/ANNOgesic Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9e/d4/7acab28190683a2540c351f2a8769813f2200d04fff6c975d79c1da756d2/ANNOgesic-1.1.14.linux-x86_64.tar.gz BuildArch: noarch Requires: python3-biopython Requires: python3-matplotlib Requires: python3-networkx Requires: python3-numpy %description ANNOgesic is the swiss army knife for RNA-Seq based annotation of bacterial/archaeal genomes. It is a modular, command-line tool that can integrate different types of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq protocols that inclusde transcript fragmentation to generate high quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs, transcription starting sites (TSS) and processing sites, transcripts, terminators, untranslated regions (UTR) as well as small RNAs (sRNA), small open reading frames (sORF), circular RNAs, CRISPR related RNAs, riboswitches and RNA-thermometers. It can also perform RNA-RNA and protein-protein interactions prediction. Furthermore, it groups genes into operons and sub-operons and reveal promoter motifs. It can also allocate GO term and subcellular localization to genes. Several of ANNOgesic features are new implementations while other build on well known third-party tools for which it offers adaptive parameter-optimizations. Additionally, numerous visualization and statistics help the user to quickly evaluat feature predictions resulting from an ANNOgesic analysis. The tool was heavily tested with several RNA-Seq data set from bacterial as well as archaeal samples. %package -n python3-ANNOgesic Summary: ANNOgesic - A tool for bacterial/archaeal RNA-Seq based genome annotations Provides: python-ANNOgesic BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-ANNOgesic ANNOgesic is the swiss army knife for RNA-Seq based annotation of bacterial/archaeal genomes. It is a modular, command-line tool that can integrate different types of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq protocols that inclusde transcript fragmentation to generate high quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs, transcription starting sites (TSS) and processing sites, transcripts, terminators, untranslated regions (UTR) as well as small RNAs (sRNA), small open reading frames (sORF), circular RNAs, CRISPR related RNAs, riboswitches and RNA-thermometers. It can also perform RNA-RNA and protein-protein interactions prediction. Furthermore, it groups genes into operons and sub-operons and reveal promoter motifs. It can also allocate GO term and subcellular localization to genes. Several of ANNOgesic features are new implementations while other build on well known third-party tools for which it offers adaptive parameter-optimizations. Additionally, numerous visualization and statistics help the user to quickly evaluat feature predictions resulting from an ANNOgesic analysis. The tool was heavily tested with several RNA-Seq data set from bacterial as well as archaeal samples. %package help Summary: Development documents and examples for ANNOgesic Provides: python3-ANNOgesic-doc %description help ANNOgesic is the swiss army knife for RNA-Seq based annotation of bacterial/archaeal genomes. It is a modular, command-line tool that can integrate different types of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq protocols that inclusde transcript fragmentation to generate high quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs, transcription starting sites (TSS) and processing sites, transcripts, terminators, untranslated regions (UTR) as well as small RNAs (sRNA), small open reading frames (sORF), circular RNAs, CRISPR related RNAs, riboswitches and RNA-thermometers. It can also perform RNA-RNA and protein-protein interactions prediction. Furthermore, it groups genes into operons and sub-operons and reveal promoter motifs. It can also allocate GO term and subcellular localization to genes. Several of ANNOgesic features are new implementations while other build on well known third-party tools for which it offers adaptive parameter-optimizations. Additionally, numerous visualization and statistics help the user to quickly evaluat feature predictions resulting from an ANNOgesic analysis. The tool was heavily tested with several RNA-Seq data set from bacterial as well as archaeal samples. %prep %autosetup -n ANNOgesic-1.1.14 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-ANNOgesic -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 1.1.14-1 - Package Spec generated