Bug#723771: ITP: python-freecontact -- fast protein contact predictor - binding for Python

2013-09-19 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

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* Package name: python-freecontact
  Version : 1.1
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : GPL-3+
  Programming Lang: C++, Python
  Description : fast protein contact predictor - binding for Python

FreeContact is a protein residue contact predictor optimized for speed.
Its input is a multiple sequence alignment. FreeContact can function as an
accelerated drop-in for the published contact predictors
EVfold-mfDCA of DS. Marks (2011) and
PSICOV of D. Jones (2011).

FreeContact is accelerated by a combination of vector instructions, multiple
threads, and faster implementation of key parts.
Depending on the alignment, 8-fold or higher speedups are possible.

A sufficiently large alignment is required for meaningful results.
As a minimum, an alignment with an effective (after-weighting) sequence count
bigger than the length of the query sequence should be used. Alignments with
tens of thousands of (effective) sequences are considered good input.

jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite
can be used to generate the alignments, for example.

This package contains the Python binding.

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Bug#723747: ITP: libfreecontact-perl -- fast protein contact predictor - binding for Perl

2013-09-19 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1

* Package name: libfreecontact-perl
  Version : 0.08
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : GPL-1+ or Artistic
  Programming Lang: C, Perl
  Description : fast protein contact predictor - binding for Perl

 FreeContact is a protein residue contact predictor optimized for speed.
 Its input is a multiple sequence alignment. FreeContact can function as an
 accelerated drop-in for the published contact predictors
 EVfold-mfDCA of DS. Marks (2011) and
 PSICOV of D. Jones (2011).
 .
 FreeContact is accelerated by a combination of vector instructions, multiple
 threads, and faster implementation of key parts.
 Depending on the alignment, 8-fold or higher speedups are possible.
 .
 A sufficiently large alignment is required for meaningful results.
 As a minimum, an alignment with an effective (after-weighting) sequence count
 bigger than the length of the query sequence should be used. Alignments with
 tens of thousands of (effective) sequences are considered good input.
 .
 jackhmmer(1) from the hmmer package, or hhblits(1) from hhsuite
 can be used to generate the alignments, for example.
 .
 This package contains the Perl binding.

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Bug#705537: ITP: metastudent -- predictor of Gene Ontology terms from protein sequence

2013-04-16 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

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* Package name: metastudent
  Version : 1.0.7
  Upstream Author : Tobias Hamp 
* URL : https://rostlab.org/owiki/index.php/Metastudent
* License : GPL-2+
  Programming Lang: Perl, Python, Java
  Description : predictor of Gene Ontology terms from protein sequence

 Often, only the sequence of a protein is known, but 
 not its functions. Metastudent will try to predict 
 missing functional annotations through homology searches (BLAST).
 .
 All predicted functions correspond to Gene Ontology (GO) 
 terms from the Molecular Function Ontology (MFO) and the Biological Process
 Ontology (BPO) and are associated with a reliability score.

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Bug#703256: RFH: gridengine -- Distributed resource management

2013-03-17 Thread Laszlo Kajan
Package: wnpp
Severity: normal

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Hello!

I am Laszlo Kajan, a member of the 'Gridengine packaging' project [1]. This
project team-maintains gridengine [2], a distributed resource management
system, in Debian.

gridengine used to be - well, still is on wheezy - a package of the Sun Grid
Engine.  Our team is now inclined to continue maintaining gridengine as one of
the free forks of the Sun Grid Engine: the Son of Grid Engine (SGE) [3].
The reason is that the upstream developer, Dave Love, is giving us a lot of
help with this, and is very enthusiastic about keeping Son of Grid Engine in
Debian.

Our team - I feel, after discussions in the team [4] - could use new members
willing to go deeper into the delicacies of packaging this distributed system
for Debian, and tackle the issues (see the thread in [4]). And to match Dave's
pace :).

If you are interested in gridengine and SGE and feel you can help, please send
an email to the team mailing list at
.

If you would like to check out the current Debianization, please visit [5].
Contributions to this wiki page are most welcome.

Best regards,
Laszlo

[1] https://alioth.debian.org/projects/pkg-gridengine/
[2] http://packages.debian.org/source/wheezy/gridengine
[3] https://arc.liv.ac.uk/trac/SGE
[4] 
http://lists.alioth.debian.org/pipermail/pkg-gridengine-devel/2013-March/000675.html
[5] http://wiki.debian.org/GridenginePackaging/GitGuide

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Bug#690058: ITP: conservation-code -- tool to score protein sequence conservation

2012-10-09 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

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* Package name: conservation-code
  Version : 20110309.0
  Upstream Author : John A. Capra , Mona Singh 

* URL : http://compbio.cs.princeton.edu/conservation/
* License : GPL-2.0+
  Programming Lang: Python
  Description : protein sequence conservation scoring tool
  Enhances: concavity

 This package provides score_conservation(1), a tool to score protein sequence
 conservation.
 .
 The following conservation scoring methods are implemented:
  * sum of pairs
  * weighted sum of pairs
  * Shannon entropy
  * Shannon entropy with property groupings (Mirny and Shakhnovich 1995,
Valdar and Thornton 2001)
  * relative entropy with property groupings (Williamson 1995)
  * von Neumann entropy (Caffrey et al 2004)
  * relative entropy (Samudrala and Wang 2006)
  * Jensen-Shannon divergence (Capra and Singh 2007)
 .
 A window-based extension that incorporates the estimated conservation of
 sequentially adjacent residues into the score for each column is also given.
 This window approach can be applied to any of the conservation scoring
 methods.
 .
 The program accepts alignments in the CLUSTAL and FASTA formats.
 .
 The sequence-specific output can be used as the conservation input for
 concavity.
 .
 Conservation is highly predictive in identifying catalytic sites and
 residues near bound ligands.


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Bug#689020: ITP: concavity -- predictor of protein ligand binding sites from 3D structure and sequence conservation

2012-09-28 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

-BEGIN PGP SIGNED MESSAGE-
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* Package name: concavity
  Version : 0.1
  Upstream Author : Thomas Funkhouser , John A. Capra 

* URL : http://compbio.cs.princeton.edu/concavity/
* License : GPL-3+
  Programming Lang: C++
  Description : predictor of protein ligand binding sites from 3D structure 
and sequence conservation

 ConCavity predicts protein ligand binding sites by combining evolutionary
 sequence conservation and 3D structure.
 .
 ConCavity takes as input a PDB format protein structure and (optionally)
 files that characterize the evolutionary sequence conservation of the chains
 in the structure file.
 .
 The following result files are produced (by default):
  * residue ligand binding predictions for each chain (*.scores)
  * residue ligand binding predictions in a PDB format file (residue
scores placed in the temp. factor field, *_residue.pdb
  * pocket prediction locations in a DX format file (*.dx)
  * PyMOL script to visualize the predictions (*.pml)
 .
 ConCavity has many features.  The default run of concavity is equivalent to
 ConCavity^L in the paper:
 'Capra JA, Laskowski RA, Thornton JM, Singh M, and Funkhouser TA(2009)
 Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence
 Conservation and 3D Structure. PLoS Comput Biol, 5(12).'.

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Bug#684403: ITP: python-librcsb-core-wrapper -- library that exports C++ mmCIF accessors to Python

2012-08-09 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1

* Package name: python-librcsb-core-wrapper
  Version : 1.000
  Upstream Author : Vladimir Guranovic 
* URL : http://sw-tools.rcsb.org/apps/CORE-WRAPPER/index.html
* License : RCSB PDB SOFTWARE LICENSE AGREEMENT, Henry Spencer's regex 
license
  Programming Lang: C++
  Description : library that exports C++ mmCIF accessors to Python

This package provides RCSB Core Wrapper, a library that exports C++ mmCIF
accessors to Python.
.
This library is built on top of RCSB CIFPARSE-OBJ, a library that provides an
object-oriented interface to information in mmCIF format.

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Bug#680539: ITP: hmmer2 -- profile hidden Markov models for protein sequence analysis (version 2)

2012-07-06 Thread Laszlo Kajan
Hello Joachim!

I use predictprotein (ITP, soon in Debian) and snap (non-free) with version 2 
of hmmer.

predictprotein is an umbrella package that runs a bunch of bioinformatics 
tools, none of which are about speech recognition though.
snap is for the prediction of effects of non-synonymous mutations in DNA.

HMMER is used to find homologues for protein sequences. I am not familiar with 
speech recognition at all... I have not heard of hmmer being used
for it.

Best regards,

Laszlo

On 06/07/12 19:43, Joachim Wiedorn wrote:
> Hello,
> 
> Laszlo Kajan wrote on 2012-07-06 18:47:
> 
>>  HMMER is an implementation of profile hidden Markov model methods for
>>  sensitive searches of biological sequence databases using multiple sequence
>>  alignments as queries.
> 
> Which software/packages do you use together with this package?
> 
> Is there a way to use this package directly together with some speech
> recognition software: cmusphinx or simon/julius?
> 
> ---
> Have a nice day.
> 
> Joachim (Germany)
> 




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Bug#680539: ITP: hmmer2 -- profile hidden Markov models for protein sequence analysis (version 2)

2012-07-06 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1

* Package name: hmmer2
  Version : 2.3.2
  Upstream Author : Sean Eddy 
* URL : ftp://selab.janelia.org/pub/software/hmmer/
* License : GPL-2+
  Programming Lang: C
  Description : profile hidden Markov models for protein sequence analysis 
(version 2)

 HMMER is an implementation of profile hidden Markov model methods for
 sensitive searches of biological sequence databases using multiple sequence
 alignments as queries.
 .
 Given a multiple sequence alignment as input, HMMER builds a statistical
 model called a "hidden Markov model" which can then be used as a query into
 a sequence database to find (and/or align) additional homologues of the
 sequence family.

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Bug#676384: ITP: libsort-key-top-perl -- select and sort top n elements

2012-06-06 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: libsort-key-top-perl
  Version : 0.06
  Upstream Author : Salvador Fandiño 
* URL : 
http://search.cpan.org/~salva/Sort-Key-Top-0.06/lib/Sort/Key/Top.pm
* License : Perl Artistic
  Programming Lang: Perl
  Description : select and sort top n elements in Perl

The functions available from this module select the top n elements from a list 
using several common orderings and custom key extraction procedures.



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Bug#669259: ITP: dssp -- protein secondary structure assignment based on 3D structure

2012-04-18 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: dssp
  Version : 2.0.4
  Upstream Author : Maarten L. Hekkelman 
* URL : http://www.cmbi.ru.nl/dssp/
* License : Boost-1.0
  Programming Lang: C++
  Description : protein secondary structure assignment based on 3D structure

 DSSP is an application to assign the secondary structure of a protein
 based on its three dimensional (3D) structure.
 .
 This version (2) of DSSP is a rewrite that produces the same output as the
 original DSSP, but deals better with exceptions in PDB files and is much
 faster.



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Bug#666194: ITP: librg-blast-parser-perl -- very fast NCBI BLAST parser - binding for perl

2012-03-29 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: librg-blast-parser-perl
  Version : 0.02
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : Artistic
  Programming Lang: Perl
  Description : very fast NCBI BLAST parser - binding for perl

 This package contains perl binding for a very fast C/C++ library for NCBI
 BLAST -m 0 (default) output parsing.  BLAST results are returned in a
 convenient hash structure.



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Bug#666193: ITP: librostlab-blast -- very fast C++ library for parsing NCBI BLAST output

2012-03-29 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: librostlab-blast
  Version : 1.0.0
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : LGPL
  Programming Lang: C, C++
  Description : very fast C++ library for parsing NCBI BLAST output

 This package provides a very fast library for parsing the NCBI BLAST default
 (-m 0) output.



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Bug#666192: ITP: librostlab -- C++ library from the Rost Lab

2012-03-29 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: librostlab
  Version : 1.0.20
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : LGPL-3+
  Programming Lang: C++
  Description : C++ library from the Rost Lab

 The library provides the following facilities:
 * current working directory resource
 * exception with stack backtrace
 * file lock resource
 * passwd and group structures for C++
 * effective uid and gid resource
 * rostlab::bio::seq class with stream input operator for FASTA format
 * umask resource



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Bug#661111: ITP: ffindex -- simple index/database for huge amounts of small files

2012-02-24 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: ffindex
  Version : 0.9.3
  Upstream Author : Andreas Hauser 
* URL : 
http://pubshare.genzentrum.lmu.de/scientific_computing/software/ffindex/
* License : CC-BY-SA-3.0
  Programming Lang: C
  Description : simple index/database for huge amounts of small files

FFindex is a very simple index/database for huge amounts of small files. The
files are stored concatenated in one big data file, separated by '\0'. A
second file contains a plain text index, giving name, offset and length of
the small files. The lookup is currently done with a binary search on an
array made from the index file.



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Bug#660272: ITP: sift -- predict if an amino acid substitution in a protein has phenotypic effect

2012-02-17 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: sift
  Version : 3.0
  Upstream Author : Pauline Ng 
* URL : http://sift-dna.org/
* License : FHCRC NONCOMMERCIAL LICENSE 
<ftp://ftp.ncbi.nih.gov/repository/blocks/unix/blimps/LICENSE>
  Programming Lang: C
  Description : predict if an amino acid substitution in a protein has 
phenotypic effect

SIFT is a sequence homology-based tool that sorts intolerant from tolerant
amino acid substitutions and predicts whether an amino acid substitution
in a protein will have a phenotypic effect.



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Bug#659964: ITP: proftmb -- per-residue prediction of bacterial transmembrane beta barrels

2012-02-15 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: proftmb
  Version : 1.1.7
  Upstream Author : Henry Bigelow 
* URL : http://rostlab.org/
* License : GPL
  Programming Lang: C++
  Description : per-residue prediction of bacterial transmembrane beta 
barrels

proftmb provides a four state (up-strand, down-strand, periplasmic loop, and
outer loop) per-residue prediction for the protein.



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Bug#657897: ITP: blimps -- FHCRC BLocks IMProved Searcher

2012-01-29 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: blimps
  Version : 3.9
  Upstream Author : Jorja Henikoff 
* URL : ftp://ftp.ncbi.nih.gov/repository/blocks/unix/blimps/
* License : FHCRC NONCOMMERCIAL LICENSE 
<ftp://ftp.ncbi.nih.gov/repository/blocks/unix/blimps/LICENSE>
  Programming Lang: C
  Description : blocks database improved searcher

BLIMPS (BLocks IMProved Searcher) is a searching tool that scores
a sequence against blocks or a block against sequences.



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Bug#656626: ITP: hhsuite -- sensitive protein sequence searching based on HMM-HMM alignment

2012-01-20 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 

* Package name: hhsuite
  Version : 2.0.4
  Upstream Author : Johannes Soeding, Michael Remmert, Andreas Hauser 
, Andreas Biegert
* URL : http://toolkit.genzentrum.lmu.de/sections/search
* License : GPLv3
  Programming Lang: C++
  Description : sensitive protein sequence searching based on HMM-HMM 
alignment

The HH-suite is an open-source software package for sensitive protein sequence 
searching based on the
pairwise alignment of hidden Markov models (HMMs). It contains HHsearch and 
HHblits
among other programs and utilities.
.
HHsearch takes as input a multiple sequence alignment (MSA)
or profile HMM and searches a database of HMMs (e.g. PDB, Pfam, or InterPro) 
for homologous
proteins. HHsearch is often used for protein structure prediction to detect 
homologous templates
and to build highly accurate query-template pairwise alignments for homology 
modeling.
.
HHblits can build high-quality MSAs starting from single sequences or from 
MSAs. It transforms these into a query HMM
and, using an iterative search strategy, adds significantly similar sequences 
from the previous search
to the updated query HMM for the next search iteration. Compared to PSI-BLAST, 
HHblits is
faster, up to twice as sensitive and produces more accurate alignments.



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Bug#655336: ITP: reprof -- protein secondary structure and accessibility predictor

2012-01-10 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: reprof
  Version : 1.0.0
  Upstream Author : Peter Hoenigschmid 
* URL : http://rostlab.org/
* License : GPL
  Programming Lang: Perl
  Description : protein secondary structure and accessibility predictor

'reprof' is an improved implementation of 'prof', a popular protein secondary
structure and accessibility predictor.
Prediction is either
done from protein sequence alone or from an alignment - the latter should be
used for optimal performance.



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Bug#649995: ITP: libai-fann-perl -- Perl wrapper for the FANN library

2011-11-25 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: libai-fann-perl
  Version : 0.10
  Upstream Author : Salvador Fandino 
* URL : http://fann.sf.net/
* License : Perl Artistic License
  Programming Lang: C, C++, Perl
  Description : Perl wrapper for the FANN library

This module provides a Perl wrapper for the FANN library (http://fann.sf.net).



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Bug#643669: ITP: pp-popularity-contest -- PredictProtein popularity contest

2011-09-28 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: pp-popularity-contest
  Version : 1.0.3
  Upstream Author : Laszlo Kajan 
* URL : http://www.rostlab.org/
* License : GPL
  Programming Lang: C++
  Description : PredictProtein popularity contest

The pp-popularity-contest package sets up a cron job
that periodically submits the developers anonymous statistics on the usage of 
Rost Lab prediction methods installed on this system.
.
This information helps to make decisions like which packages
should receive high priority when fixing bugs or receive funding for further
development and support.
This information is also very important when the Rost Lab applies for funding.
.
Without the funding received based on the usage statistics you contribute by
installing this package none of the packages on Debian could have been made
available to you at no cost.
.
Please install this package when it is recommended.



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Bug#643630: ITP: librg-utils-perl -- parsers and format conversion utilities used by (e.g.) profphd

2011-09-28 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: librg-utils-perl
  Version : 1.0.41
  Upstream Author : Burkhard Rost 
* URL : http://www.rostlab.org/
* License : GPL
  Programming Lang: Perl
  Description : parsers and format conversion utilities used by (e.g.) 
profphd

This package contains tools like:

* blast2saf.pl, blastpgp_to_saf.pl, conv_hssp2saf.pl, copf.pl, hssp_filter.pl,
safFilterRed.pl

and modules like:

* RG:Utils::Conv_hssp2saf RG:Utils::Copf RG:Utils::Hssp_filter



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Bug#643323: ITP: profphd-utils -- profphd helper utilities convert_seq and filter_hssp

2011-09-27 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: profphd-utils
  Version : 1.0.7
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : GPL
  Programming Lang: Fortran
  Description : profphd helper utilities convert_seq and filter_hssp

The package provides the following binary utilities: convert_seq, filter_hssp.
These are used by prof from the profphd package: a secondary structure,
accessibility and transmembrane helix predictor from Burkhard Rost.



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Bug#643324: ITP: profphd -- secondary structure and solvent accessibility predictor

2011-09-27 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: profphd
  Version : 1.0.35
  Upstream Author : Laszlo Kajan 
* URL : http://rostlab.org/
* License : GPL
  Programming Lang: Perl
  Description : secondary structure and solvent accessibility predictor

Solvent accessibility is predicted by a neural network method rating at a
correlation coefficient (correlation between experimentally observed and
predicted relative solvent accessibility) of 0.54 cross-validated on a set of
238 globular proteins (Rost & Sander, Proteins, 1994, 20, 216-226;
evaluation of accuracy). The output of the neural network codes for 10 states
of relative accessibility. Expressed in units of the difference between
prediction by homology modelling (best method) and prediction at random
(worst method), PROFacc is some 26 percentage points superior to a comparable
neural network using three output states (buried, intermediate, exposed) and
using no information from multiple alignments.
.
Transmembrane helices
in integral membrane proteins are predicted by a system of neural networks.
The shortcoming of the network system is that often too long helices are
predicted. These are cut by an empirical filter. The final prediction
(Rost et al., Protein Science, 1995, 4, 521-533; evaluation of accuracy)
has an expected per-residue accuracy of about 95%. The number of false
positives, i.e., transmembrane helices predicted in globular proteins, is
about 2%.
.
The neural network prediction of transmembrane helices
(PHDhtm) is refined by a dynamic programming-like algorithm. This method
resulted in correct predictions of all transmembrane helices for 89% of the
131 proteins used in a cross-validation test; more than 98% of the
transmembrane helices were correctly predicted. The output of this method
is used to predict topology, i.e., the orientation of the N-term with respect
to the membrane. The expected accuracy of the topology prediction is > 86%.
Prediction accuracy is higher than average for eukaryotic proteins and lower
than average for prokaryotes. PHDtopology is more accurate than all other
methods tested on identical data sets.



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Bug#641799: ITP: libzerg-perl -- fast perl module for parsing the output of NCBI BLAST programs

2011-09-16 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: libzerg-perl
  Version : 1.0.4
  Upstream Author : Apuã Paquola
* URL : http://code.google.com/p/libzerg/
* License : GPL
  Programming Lang: Perl
  Description : fast perl module for parsing the output of NCBI BLAST 
programs

The Zerg library contains a C/flex lexical scanner for BLAST reports
and a set of supporting functions. It is centered on a "get_token"
function that scans the input for specified lexical elements and, when
one is found, returns its code and value to the user.
.
It is intended to be fast: for that we used flex, which provides
simple regular expression matching and input buffering in the
generated C scanner. And it is intended to be simple in the sense of
providing just a lexical scanner, with no features whose support could
slow down its main function.



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Bug#641581: ITP: libzerg -- C library for parsing the output of NCBI BLAST programs

2011-09-14 Thread Laszlo Kajan
Package: wnpp
Severity: wishlist
Owner: Laszlo Kajan 


* Package name: libzerg
  Version : 1.0.7
  Upstream Author : Apua C.M. Paquola 
* URL : http://code.google.com/p/libzerg/
* License : GNU GPL v2
  Programming Lang: C
  Description : C library for parsing the output of NCBI BLAST programs
  Reference   : Paquola, Apuã C M, Machado, Abimael A, Reis, Eduardo M, Da 
Silva, Aline M, and Verjovski-Almeida, Sergio: Zerg: a very fast BLAST parser 
library., Bioinformatics 19(8), volume 19, 1035–6, May 2003

Zerg is a C library for parsing the output of NCBI BLAST programs. Based on a 
GNU Flex-generated lexical scanner, it runs extremely fast, being especially 
useful for processing large volumes of data. Benchmark tests show that Zerg is 
over two orders of magnitude faster than some widely used BLAST parsers.



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