# HG changeset patch
# User bgruening
# Date 1372156185 14400
# Node ID c10e37cca7e3aadd3018e037e5f12820820cbc3a
Uploaded
diff -r 000000000000 -r c10e37cca7e3 interproscan.xml
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+
+ Interproscan functional predictions of ORFs
+
+## The command is a Cheetah template which allows some Python based syntax.
+## Lines starting hash hash are comments. Galaxy will turn newlines into spaces
+
+## create temp directory
+#import tempfile, os
+#set $tfile = tempfile.mkstemp()[1]
+
+sed 's/ /_/g' $input > $tfile;
+
+## Hack, because interproscan does not seem to produce gff output even if it is configured
+#if str($oformat) == "gff":
+ #set $tfile2 = tempfile.mkstemp()[1]
+ iprscan -cli -nocrc -i $tfile -o $tfile2 -goterms -seqtype p -altjobs -format raw -appl $appl 2>&1;
+ converter.pl -format gff3 -input $tfile2 -output $output;
+ rm $tfile2;
+#else
+ iprscan -cli -nocrc -i $tfile -o $output -goterms -seqtype p -altjobs -format $oformat -appl $appl 2>&1;
+#end if
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+rm $tfile
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+**What it does**
+
+Interproscan is a batch tool to query the Interpro database. It provides annotations based on multiple searches of profile and other functional databases.
+These include SCOP, CATH, PFAM and SUPERFAMILY.
+
+**Input**
+
+Required is a FASTA file containing ORF predictions. This file must NOT contain any spaces in the FASTA headers - any spaces will be convereted to underscores ``_`` by this tool before running with Interproscan.
+
+**Output**
+
+Example for the raw format.
+The output will consist of a tabular file in galaxy with 14 columns and can be easily concatenated or filtered.
+
+====== ================================================================ ======================================================================
+column example description
+====== ================================================================ ======================================================================
+c1 NF00181542 the id of the input sequence
+c2 27A9BBAC0587AB84 the crc64 (checksum) of the protein sequence (supposed to be unique)
+c3 272 the length of the sequence (in AA)
+c4 HMMPIR the anaysis method launched.
+c5 PIRSF001424 the database members entry for this match
+c6 Prephenate dehydratase the database member description for the entry
+c7 1 the start of the domain match
+c8 270 the end of the domain match
+c9 6.5e-141 the evalue of the match (reported by member database method)
+c10 T the status of the match (T: true, ?: unknown)
+c11 06-Aug-2005 the date of the run.
+c12 IPR008237 the corresponding InterPro entry (if iprlookup requested by the user)
+c13 Prephenate dehydratase with ACT region the description of the InterPro entry
+c14 Molecular Function:prephenate dehydratase activity (GO:0004664) the GO (gene ontology) description for the InterPro entry
+====== ================================================================ ======================================================================
+
+**Database updates**
+
+Typically these take place 2-3 times a year. Please contact your Galaxy administrator to update the databases.
+
+-----
+Tools
+-----
+
+**PROSITE patterns**
+ Some biologically significant amino acid patterns can be summarised in
+ the form of regular expressions.
+ ScanRegExp (by Wolfgang.Fleischmann@ebi.ac.uk).
+
+**PROSITE profiles**
+ There are a number of protein families as well as functional or
+ structural domains that cannot be detected using patterns due to their extreme
+ sequence divergence, so the use of techniques based on weight matrices
+ (also known as profiles) allows the detection of such proteins or domains.
+ A profile is a table of position-specific amino acid weights and gap costs.
+ The profile structure used in PROSITE is similar to but slightly more general
+ (Bucher P. et al., 1996) than the one introduced by M. Gribskov and
+ co-workers.
+ pfscan from the Pftools package (by Philipp.Bucher@isrec.unil.ch).
+
+**PRINTS**
+ The PRINTS database houses a collection of protein family fingerprints.
+ These are groups of motifs that together are diagnostically more
+ powerful than single motifs by making use of the biological context inherent in a
+ multiple-motif method. The fingerprinting method arose from the need for
+ a reliable technique for detecting members of large, highly divergent
+ protein super-families.
+ FingerPRINTScan (Scordis P. et al., 1999).
+
+**PFAM**
+ Pfam is a database of protein domain families. Pfam contains curated
+ multiple sequence alignments for each family and corresponding hidden
+ Markov models (HMMs) (Eddy S.R., 1998).
+ Profile hidden Markov models are statistical models of the primary
+ structure consensus of a sequence family. The construction and use
+ of Pfam is tightly tied to the HMMER software package.
+ hmmpfam from the HMMER2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+
+**PRODOM**
+ ProDom is a database of protein domain families obtained by automated
+ analysis of the SWISS-PROT and TrEMBL protein sequences. It is useful
+ for analysing the domain arrangements of complex protein families and the
+ homology relationships in modular proteins. ProDom families are built by
+ an automated process based on a recursive use of PSI-BLAST homology
+ searches.
+ ProDomBlast3i.pl (by Emmanuel Courcelle emmanuel.courcelle@toulouse.inra.fr
+ and Yoann Beausse beausse@toulouse.inra.fr)
+ a wrapper on top of the Blast package (Altschul S.F. et al., 1997).
+
+**SMART**
+ SMART (a Simple Modular Architecture Research Tool) allows the
+ identification and annotation of genetically mobile domains and the
+ analysis of domain architectures. These domains are extensively
+ annotated with respect to phyletic distributions, functional class, tertiary
+ structures and functionally important residues. SMART alignments are
+ optimised manually and following construction of corresponding hidden Markov models (HMMs).
+ hmmpfam from the HMMER2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+
+**TIGRFAMs**
+ TIGRFAMs are a collection of protein families featuring curated multiple
+ sequence alignments, Hidden Markov Models (HMMs) and associated
+ information designed to support the automated functional identification
+ of proteins by sequence homology. Classification by equivalog family
+ (see below), where achievable, complements classification by orthologs,
+ superfamily, domain or motif. It provides the information best suited
+ for automatic assignment of specific functions to proteins from large
+ scale genome sequencing projects.
+ hmmpfam from the HMMER2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+
+**PIR SuperFamily**
+ PIR SuperFamily (PIRSF) is a classification system based on evolutionary
+ relationship of whole proteins.
+ hmmpfam from the HMMER2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+
+**SUPERFAMILY**
+ SUPERFAMILY is a library of profile hidden Markov models that represent
+ all proteins of known structure, based on SCOP.
+ hmmpfam/hmmsearch from the HMMER2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+ Optionally, predictions for coiled-coil, signal peptide cleavage sites
+ (SignalP v3) and TM helices (TMHMM v2) are supported (See the FAQs file for details).
+
+**GENE3D**
+ Gene3D is supplementary to the CATH database. This protein sequence database
+ contains proteins from complete genomes which have been clustered into protein
+ families and annotated with CATH domains, Pfam domains and functional
+ information from KEGG, GO, COG, Affymetrix and STRINGS.
+ hmmpfam from the HMM2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+
+**PANTHER**
+ The PANTHER (Protein ANalysis THrough Evolutionary Relationships)
+ Classification System was designed to classify proteins (and their genes)
+ in order to facilitate high-throughput analysis.
+ hmmsearch from the HMM2.3.2 package (by Sean Eddy,
+ eddy@genetics.wustl.edu, http://hmmer.wustl.edu).
+ and blastall from the Blast package (Altschul S.F. et al., 1997).
+
+----------
+References
+----------
+
+Zdobnov EM, Apweiler R (2001)
+InterProScan an integration platform for the signature-recognition methods in InterPro.
+Bioinformatics 17, 847-848.
+http://dx.doi.org/10.1093/bioinformatics/17.9.847
+
+Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R (2005)
+InterProScan: protein domains identifier.
+Nucleic Acids Research 33 (Web Server issue), W116-W120.
+http://dx.doi.org/10.1093/nar/gki442
+
+Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Das U, Daugherty L, Duquenne L, Finn RD, Gough J, Haft D, Hulo N, Kahn D, Kelly E, Laugraud A, Letunic I, Lonsdale D, Lopez R, Madera M, Maslen J, McAnulla C, McDowall J, Mistry J, Mitchell A, Mulder N, Natale D, Orengo C, Quinn AF, Selengut JD, Sigrist CJ, Thimma M, Thomas PD, Valentin F, Wilson D, Wu CH, Yeats C. (2009)
+InterPro: the integrative protein signature database.
+Nucleic Acids Research 37 (Database Issue), D224-228.
+http://dx.doi.org/10.1093/nar/gkn785
+
+
+**Galaxy Wrapper Author**::
+
+ * Bjoern Gruening, Pharmaceutical Bioinformatics, University of Freiburg
+ * Konrad Paszkiewicz, Exeter Sequencing Service, University of Exeter
+
+
+
diff -r 000000000000 -r c10e37cca7e3 readme.rst
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/readme.rst Tue Jun 25 06:29:45 2013 -0400
@@ -0,0 +1,88 @@
+================================================
+Galaxy wrapper for InterProScan prediction tools
+================================================
+
+InterProScan is a tool that combines different protein signature recognition methods native to the InterPro
+member databases into one resource with look up of corresponding InterPro and GO annotation.
+
+This wrapper is copyright 2012-2013 by
+* Bjoern Gruening, Pharmaceutical Bioinformatics, University of Freiburg
+* Konrad Paszkiewicz, Exeter Sequencing Service, University of Exeter
+
+
+This prepository contains wrapper for the InterProScan command line tool.
+http://www.ebi.ac.uk/interpro/
+
+
+Zdobnov E.M. and Apweiler R. "InterProScan - an integration platform for the signature-recognition methods in InterPro" Bioinformatics, 2001, 17(9): p. 847-8.
+
+
+============
+Installation
+============
+
+Please download install InterProScan according to:
+
+ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/Installing_InterProScan.txt
+
+Please see also:
+ftp://ftp.ebi.ac.uk/pub/software/unix/iprscan/index.html
+
+And rebuild the indizes if necessary:
+
+index_data.pl -f interpro.xml -inx -v -bin -bforce
+index_data.pl -f match_complete.xml -inx -v -bin -bforce
+index_data.pl -f Pfam-A.seed -inx -v -bin -bforce
+index_data.pl -f Pfam-C -inx -v -bin -bforce
+index_data.pl -f prints.pval -inx -v -bin -bforce
+index_data.pl -f sf.seq -inx -v -bin -bforce
+index_data.pl -f sf_hmm -inx -v -bin -bforce
+index_data.pl -f smart.HMMs -inx -v -bin -bforce
+index_data.pl -f superfamily.hmm -inx -v -bin -bforce
+index_data.pl -f TIGRFAMs_HMM.LIB -inx -v -bin -bforce
+
+
+Add the tool definition to your tool_conf.xml file under Galaxy root.
+
+
+=============
+Input formats
+=============
+
+The standard interproscan input is either genomic or protein sequences. In the case of genomic sequences Interproscan will run an ORF
+prediction tool. However this tends to lose the ORF information (e.g. start/end co-ordinates) from the header. As such the requirement here is to input ORF
+sequences (e.g. from EMBOSS getorf) and to then replace any spaces in the FASTA header with underscores. This workaround generally preserves the relevant
+positional information.
+
+
+=======
+History
+=======
+
+interproscan:
+- v1.1: Initial public release
+- v1.2: Merge with Konrad Paszkiewicz repository
+
+
+===============================
+Wrapper Licence (MIT/BSD style)
+===============================
+
+Permission to use, copy, modify, and distribute this software and its
+documentation with or without modifications and for any purpose and
+without fee is hereby granted, provided that any copyright notices
+appear in all copies and that both those copyright notices and this
+permission notice appear in supporting documentation, and that the
+names of the contributors or copyright holders not be used in
+advertising or publicity pertaining to distribution of the software
+without specific prior permission.
+
+THE CONTRIBUTORS AND COPYRIGHT HOLDERS OF THIS SOFTWARE DISCLAIM ALL
+WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT SHALL THE
+CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY SPECIAL, INDIRECT
+OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
+OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
+OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE
+OR PERFORMANCE OF THIS SOFTWARE.
+