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MTW / Bio-ViennaNGS-v0.18 / README 
# Bio::ViennaNGS 0.18

Bio::ViennaNGS is a distribution of Perl modules and utilities for
building efficient Next-Generation Sequencing (NGS) analysis
pipelines. It covers various aspects of NGS data analysis, including
(but not limited to) conversion of sequence annotation, evaluation of
mapped data, expression quantification and visualization.

Bio::ViennaNGS is shipped with a complementary set of modules, classes and
roles:

- Bio::ViennaNGS::AnnoC
  A Moose interface for storage and conversion of sequence annotation
  data.

- Bio::ViennaNGS::Bam
  Routines for high-level manipulation of BAM files.

- Bio::ViennaNGS::Bed 
  A Moose interface for manipulation of genomic interval data in BED
  format.

- Bio::ViennaNGS::BedGraphEntry
  A Moose interface for storing genomic cvoerage and interval data in
  bedGraph format.

- Bio::ViennaNGS::Expression
  A Moose interface for computation of normalized gene / transcript
  expression based on read counts.

- Bio::ViennaNGS::ExtFeature
  A Moose wrapper for extended BED6 elements.

- Bio::ViennaNGS::Fasta
  Routines for accessing genomic sequences implemented through a Moose
  interface to Bio::DB::Fasta.

- Bio::ViennaNGS::Feature
  A Moose-based BED6 wrapper.  

- Bio::ViennaNGS::FeatureChain
  Yet another Moose class for chaining gene annotation features. 

- Bio::ViennaNGS::FeatureInterval
  A Moose interface for handling elementary genomic intervals,
  corresponding to BED3.

- Bio::ViennaNGS::FeatureIO
  A Moose interface for easy input/output operations on common feature
  annotation file formats.

- Bio::ViennaNGS::FeatureLine
  An abstract Moose class for combining several
  Bio::ViennaNGS::FeatureChain objects.

- Bio::ViennaNGS::MinimalFeature
  A Moose interface for handling elementary gene annotation, corresponding
  to BED4.

- Bio::ViennaNGS::Peak 
  A Moose interface for identification and characterization of (coverage /
  expression) peaks in RNA-seq data.

- Bio::ViennaNGS::SpliceJunc
  A collection of routines for alternative splicing analysis.

- Bio::ViennaNGS::Subtypes
  Moose subtypes for internal usage.

- Bio::ViennaNGS::Tutorial
  A comprehensive tutorial of the Bio::ViennaNGS core routines with
  real-world NGS data.

- Bio::ViennaNGS::UCSC
  Routines for visualization of genomics data with the UCSC genome
  browser.

- Bio::ViennaNGS::Util
  A collection of wrapper routines for commonly used third-party NGS
  utilities as well as a set of utility functions.


## UTILITIES

In addition, Bio::ViennaNGS comes with a collection of utility
programs for accomplishing routine tasks often required in NGS data
processing. These utilities serve as reference implementation of the
routines implemented in the (sub)modules:

assembly_hub_constructor.pl:
The UCSC genome browser offers the possibility to visualize any
organism (including organisms that are not included in the standard
UCSC browser bundle) through hso called 'Assembly Hubs'. This script
constructs Assembly Hubs from genomic sequence and annotation data.

bam_split.pl: 
Split (paired-end and single-end) BAM alignment files by strand and compute
statistics. Optionally create BED output, as well as normalized bedGraph
and bigWig files for coverage visualization in genome browsers (see
dependencies on third-patry tools below).

bam_to_bigWig.pl:
Produce bigWig coverage profiles from (aligned) BAM files, explicitly
considering strandedness. The most natural use case of this tool is to
create strand-aware coverage profiles in bigWig format for genome browser
visualization.

bam_uniq.pl:
Extract unique and multi mapping reads from BAM alignment files and create
a separate BAM file for both uniqe (.uniq.) and multi (.mult.) mappers.

bed2bedGraph.pl:
Convert BED files to (strand specific) bedGraph files, allowing
additional annotation and automatic generation of bedGraph files which can
easily be converted to big-type files for easy UCSC visualization.

bed2nt2aa.pl:
Extract sequence intervals from Fasta files, provided as BED6
records. Optionally translate nucleotide into amino acid sequences.

bed62bed12.pl:
A simple BED6 -> BED12 converter

fasta_multigrep.pl:
Extract individual (whole) sequences from a multi Fasta file

fasta_subgrep.pl:
Extract subsequences from (multi) Fasta files.

fasta_regex.pl:
Extract sequence motifs from (multi) Fasta files provided as regular
expression.

gff2bed.pl:
Convert RefSeq GFF3 annotation files to BED12 format. Individual BED12
files are created for each feature type (CDS/tRNA/rRNA/etc.). Tested with
RefSeq bacterial GFF3 annotation.  

kmer_analysis.pl:
Count k-mers of predefined length in FastQ and Fasta files

newUCSCdb.pl:
Create a new genome database to a locally installed instance of the UCSC
genome browser in order to add a novel organism for visualization.

normalize_multicov.pl: 
Compute normalized expression data in TPM and RPKM from (raw) read counts
in bedtools multicov format. TPM reference: Wagner et al, Theory
Biosci. 131(4), pp 281-85 (2012).

rnaseq_peakfinder.pl:
Find and characterize peaks/enriched regions of certain size and coverage
in RNA-seq data.

sj_visualizer.pl:
Convert splice junctions from mapped RNA-seq data in segemehl BED6 splice
junction format to BED12 for easy visualization in genome browsers.

splice_site_summary.pl:
Identify and characterize splice junctions from RNA-seq data by
intersecting them with annotated splice junctions.

track_hub_constructor.pl:
Analogous to assembly_hub_constructor.pl, construct a Track Hub for an
organism listed in the UCSC Genome Browser.

trim_fastq.pl:
Trim sequence and quality string fields in a Fastq file by user
defined length.


## TUTORIAL

See Bio::ViennaNGS::Tutorial 


## INSTALLATION

We have compiled a comprehensive `ViennaNGS Installation HOWTO` which
covers the setup of third party and Perl dependencies in detail:

http://rna-seq.at/blog/2015/03/03/viennangs-installation-howto/

If you have already installed all dependencies, the ViennaNGS distribution
can be installed with the following commands:

   perl Makefile.PL
   make
   make test
   make install

However, we highly recommend using *cpanminus* for installing ViennaNGS. If
you have cpanm available on your system, simply type

  cpanm Bio::ViennaNGS

This command will grab the lastest ViennaNGS release from CPAN together
with all Perl dependencies and install the suite automatically (provided
you have samtools <= 0.1.19 installed, see the HOWTO link above).


## SUPPORT AND DOCUMENTATION

After installing, you can find documentation for this module with the
perldoc command.

    perldoc Bio::ViennaNGS

You can also look for information at:

    RT, CPAN's request tracker (report bugs here)
        http://rt.cpan.org/NoAuth/Bugs.html?Dist=Bio-ViennaNGS

    AnnoCPAN, Annotated CPAN documentation
        http://annocpan.org/dist/Bio-ViennaNGS

    CPAN Ratings
        http://cpanratings.perl.org/d/Bio-ViennaNGS

    Search CPAN
        http://search.cpan.org/dist/Bio-ViennaNGS


## DEPENDENCIES

Bio::ViennaNGS depends on a set of third-party tools and libraries which
are required for specific filtering and file format conversion tasks as
well as for building internally used Perl modules:

* bedtools2 >= 2.17 (https://github.com/arq5x/bedtools2) 
* bedGraphToBigWig, fetchChromSizes, faToTwoBit from the UCSC Genome
  Browser applications (http://hgdownload.cse.ucsc.edu/admin/exe/)
* the R Statistics software (http://www.r-project.org/)
* samtools <= v0.1.19 for building Bio::DB::Sam. Please note that more
  recent HTSlib-based versions of samtools will not work with Bio::DB::Sam 

Please ensure that all third-party utilities are available on your system
and accessible to the Perl interpreter.

Moreover, Bio::ViennaNGS depends on a ste of Perl packages that are not
shipped with the Perl core distribution, most notably Bio::Perl >=
1.00690001 and Bio::DB::Sam >= 1.37.


## SOURCE AVAILABILITY

This source is available on Github: 
              https://github.com/mtw/Bio-ViennaNGS


## VIENNANGS PAPER

If the Bio::ViennaNGS suite is useful for your work or if you use any
component of Bio::ViennaNGS in a custom pipeline, please cite the following
publication:

"ViennaNGS - A toolbox for building efficient next-generation sequencing
analysis pipelines"
Michael T. Wolfinger, Joerg Fallmann, Florian Eggenhofer and Fabian Amman
F1000Research 4:50 (2015)
DOI: http://dx.doi.org/10.12688/f1000research.6157.2


## NOTES

The Bio::ViennaNGS suite is actively developed and tested on different
flavours of Linux and Mac OS X. We have taken care of writing
platform-independent code that should run out of the box on most UNIX-based
systems, however we do not have access to machines running Microsoft
Windows. As such Microsoft Windows compatibility is not tested.


## BUGS

Please report bugs through the Github issue tracker at
https://github.com/mtw/Bio-ViennaNGS/issues


## AUTHORS

Michael T. Wolfinger <michael@wolfinger.eu>
Joerg Fallmann <fall@tbi.univie.ac.at>
Florian Eggenhofer <florian.eggenhofer@tbi.univie.ac.at>
Fabian Amman <fabian@tbi.univie.ac.at>


## COPYRIGHT AND LICENCE

Copyright (C) 2014-2017 Michael T. Wolfinger <michael@wolfinger.eu>

This library is free software; you can redistribute it and/or modify it
under the same terms as Perl itself, either Perl version 5.10.0 or, at your
option, any later version of Perl 5 you may have available.

This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
more details.