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%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 <Python_Bot@openeuler.org> - 1.1.14-1
- Package Spec generated
|
