Package: pourrna
Version: 1.1.0-1
Architecture: amd64
Maintainer: Gregor Entzian <entzian@tbi.univie.ac.at>
Installed-Size: 1798
Depends: libc6 (>= 2.29), libgcc1 (>= 1:3.0), libstdc++6 (>= 9), viennarna-dev (>= 2.4.11)
Conflicts: pourrna
Provides: pourrna
Filename: ./amd64/pourrna_1.1.0-1_amd64.deb
Size: 253728
MD5sum: 0255a54f549f0ef7d670ea63a5939d9c
SHA1: b9f6d70bdb000a815d27a375c8fd10f29fdc66cd
SHA256: 56cf5d0cb2846b568bea0ede4551663cfe0658a4964c5e179e0842fb303fe9fd
Section: science
Priority: optional
Description: Compute local minima and respective transition rates of an RNA energy landscape.
 pourRNA takes an RNA sequence as input and explores the landscape topology
 locally. This means the flooding algorithm will be applied for each gradient
 basin. The partition function for the basin and also for the transitions to
 neighbored minima will be calculated during the flooding.
 In order to speed up the computation of the rate matrix, local filtering
 techniques can be applied. These filters prune non-relevant transitions
 directly after flooding a gradient basin. As a result, the transition rates
 for the filtered landscape topology can be calculated faster than with global
 approaches. The advantage increases with increasing size of the energy
 landscape.

Package: pourrna
Version: 1.2.0-1
Architecture: amd64
Maintainer: Gregor Entzian <entzian@tbi.univie.ac.at>
Installed-Size: 1798
Depends: libc6 (>= 2.29), libgcc1 (>= 1:3.0), libstdc++6 (>= 9), viennarna-dev (>= 2.4.11)
Conflicts: pourrna
Provides: pourrna
Filename: ./amd64/pourrna_1.2.0-1_amd64.deb
Size: 254772
MD5sum: 43928d48d4d8926dcece5e5e4aafab29
SHA1: a9ef9bf654073e60e7a39c9b23f1877d863d5206
SHA256: eab3691b3e3b671468f5276f7b09c33f86e6cb207d614a1f5796a414ff563c1e
Section: science
Priority: optional
Description: Compute local minima and respective transition rates of an RNA energy landscape.
 pourRNA takes an RNA sequence as input and explores the landscape topology
 locally. This means the flooding algorithm will be applied for each gradient
 basin. The partition function for the basin and also for the transitions to
 neighbored minima will be calculated during the flooding.
 In order to speed up the computation of the rate matrix, local filtering
 techniques can be applied. These filters prune non-relevant transitions
 directly after flooding a gradient basin. As a result, the transition rates
 for the filtered landscape topology can be calculated faster than with global
 approaches. The advantage increases with increasing size of the energy
 landscape.

Package: python3-rnaxplorer
Source: rnaxplorer
Version: 0.9.0
Architecture: amd64
Maintainer: Gregor Entzian <entzian@tbi.univie.ac.at>
Installed-Size: 8
Depends: python3
Conflicts: python3-rnaxplorer
Filename: ./amd64/python3-rnaxplorer_0.9.0_amd64.deb
Size: 1764
MD5sum: 740bdeba68d4612092868e427082a638
SHA1: 84518269fef4bc69a248dcb9b04153f249d363aa
SHA256: eca7a8fe7a829dd2554b6180d0a7bd7753d4c3f8a002f7e47af9ad64a34c189c
Section: python
Priority: optional
Description: Python 3 bindings to RNAxplorerlib
 The RNAxplorer class to access RNAxplorerlib C-library functions from
 within Python 3 scripts

Package: rnaxplorer
Version: 0.9.0
Architecture: amd64
Maintainer: Gregor Entzian <entzian@tbi.univie.ac.at>
Installed-Size: 8
Depends: viennarna-dev (>= 2.4.14)
Recommends: python-rnaxplorer
Conflicts: rnaxplorer
Provides: rnaxplorer
Filename: ./amd64/rnaxplorer_0.9.0_amd64.deb
Size: 1880
MD5sum: 81173326b4aaa3240f50afb1b07c60cd
SHA1: 06d028bd4a3e6cda4a84c95be024e40d43d280be
SHA256: 38ec03af1f11327565f9bfc228f6632e0cd38ba21fbad2f0c57a4120287fce22
Section: science
Priority: optional
Description: Sample RNA secondary structures and explore the RNA energy landscape.
 RNAxplorer takes an RNA sequence as input and samples secondary structures that
 represent the most important structures of the RNA conformation space and thus
 are well suited to compute RNA folding kinetics.