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<title>BioTorrents</title>
<description>BioTorrents</description>
<link>http://www.biotorrents.net/</link>
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<title>Hmmer-3.0rc2 (Bioinformatics)- GNU GPL</title>
<category>Bioinformatics</category><version>4</version><license>GNU GPL</license><description>This contains all OS binaries from hmmer.org:

Source:  	  [Download: 3.9MB]  	 MD5:  4a3d8e217556e8ea791d5eaeafb3b072
with Linux/Intel ia32 binaries: 	[Download: 11.3MB] 	MD5: 5e1f2be91122f4a15a7b9c2b6d895564
with Linux/Intel x86_64 binaries: 	[Download: 13.1MB] 	MD5: c6d42075d2bbd85227f051ad8306c185
with MacOSX/Intel binaries: 	[Download: 8.2MB] 	MD5: a2a91de34b263e8a6d8336439dcf8447 

Briefly, to compile from source:
% tar zxf hmmer-3.0rc2.tar.gz
% cd hmmer-3.0rc2
% ./configure
% make
% make check

The 'make check' is optional; it runs a test suite.

All the binary tarballs include source code, plus a binaries/ directory containing precompiled binaries. Installing HMMER takes nothing other than moving these binaries wherever you want them.

We believe HMMER compiles and runs on any POSIX-compliant system with an ANSI C99 compiler, including Mac OS/X, Linux, and any UNIX. For more installation and configuration options, see the Installation chapter of the User Guide (included in the package, and also linked below).



HMMER 3.0rc2 release notes: HMMER 3.0 release candidate 2

http://hmmer.org/
SRE, Sat Mar 6 11:37:47 2010

We are counting down to the first release of HMMER 3.0, after a year of alpha and beta testing. This is release candidate two (3.0rc2).

H3 is ready for production use. Indeed, it has been stable for many months. It is already widely deployed in its beta test versions for Pfam, Interpro, and other protein databases.

We are still not entirely happy with a number of issues, including the state of the documentation and the range of different formats (especially alignment formats) we read. And it would be nice if we’d finished the manuscripts describing how H3 works. But all this work will just have to continue.

Differences in 3.0rc2 relative to the previous 3.0rc1 release:
Two reported bugs have been fixed:

    * #h78 phmmer –acc segfaults when no accession is available
    * #h77 hmmalign corrupts column before an all-deleted column

Other improvements:

    * The test suite has expanded.
    * An error in man page documentation for hmmbuild –symfrac is fixed.
    * Portability to various UNIXen is improved, notably IBM AIX systems.
    * ./configure now handles –disable-{sse,vmx,dummy} properly.
 </description>
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<item>
<title>Taverna-Workbench-2.1.0 Windows Installer (Bioinformatics)- GNU LGPL</title>
<category>Bioinformatics</category><version>1</version><license>GNU LGPL</license><description>Taverna is an open source family of tools for designing and executing workflows, created by the myGrid project and funded through the OMII-UK. The family consists of the Taverna Engine (the workhorse), and the Taverna Workbench (desktop client) and Taverna Server (remote workflow execution server) that sit on top of the Engine.

Downloaded from:
http://www.taverna.org.uk/download/taverna-2-1/

md5: 8880417678c334901ee64ac849ab203f
sha1: fb12ef8f68a33d903d1ed7c4c75caacb58bcb655</description>
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<item>
<title>A Gene Catalogue Of The Human Gut Microbiome (Metagenomics)- </title>
<category>Metagenomics</category><version>0</version><license></license><description>This is the dataset produced by the research associated with the manuscript:
Qin et al. A human gut microbial gene catalogue established by metagenomic sequencing, Nature, 2010
http://www.nature.com/nature/journal/v464/n7285/abs/nature08821.html

Dataset originally downloaded from:
http://www.bork.embl.de/~arumugam/Qin_et_al_2010/
</description>
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<item>
<title>MetagenomeSimulation.tar.gz (Metagenomics)- </title>
<category>Metagenomics</category><version>0</version><license></license><description>These are all f the sequence files, quality scores, reference genome sequences, BLAST output, and script files that were used for the project described in Morgan et al., 2010, Metagenomic Sequencing of an in vitro-Simulated Microbial Community.</description>
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<item>
<title>hmmer-3.0rc1 (Bioinformatics)- GNU GPL</title>
<category>Bioinformatics</category><version>4</version><license>GNU GPL</license><description>Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descriptions of a sequence family's consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence analysis. 

After a year of alpha and beta testing, HMMER3 is ready. Release candidate 1 is available for download as a tarball. It includes precompiled binaries for Intel/Linux systems, both 64-bit (x86_84) and 32-bit (ia32) platforms, and you may just copy these into some directory in your $PATH if you like. If the precompiled versions don't work for you, you can always compile your own version from the source.

Downloaded: Feb, 10, 2010
Website: http://hmmer.janelia.org/
More Information: http://selab.janelia.org/people/eddys/blog/?p=263 
Orginal Source: ftp://selab.janelia.org/pub/software/hmmer3/hmmer-3.0rc1.tar.gz
</description>
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<title>Mauve.Genome.Alignment.2.3.1.Linux-OpenSci (Genomics)- </title>
<category>Genomics</category><version>0</version><license></license><description>Mauve.Genome.Alignment.2.3.1.Linux-OpenSci

Homepage: http://gel.ahabs.wisc.edu/mauve/
Operating System: GNU/Linux
License: GNU General Public License (GPL) http://www.gnu.org/licenses/gpl.html
See Also: http://sourceforge.net/projects/mauve/
Releaser: OpenSci http://twitter.com/opensci
Distributor: Mininova http://mininova.org

"Mauve is a system for efficiently constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion. Multiple genome alignment provides a basis for research into comparative genomics and the study of evolutionary dynamics. Aligning whole genomes is a fundamentally different problem than aligning short sequences.

Mauve has been developed with the idea that a multiple genome aligner should require only modest computational resources. It employs algorithmic techniques that scale well in the amount of sequence being aligned. For example, a pair of Y. pestis genomes can be aligned in under a minute, while a group of 9 divergent Enterobacterial genomes can be aligned in a few hours."</description>
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<item>
<title>biotorrents v0.137 (Miscellaneous)- GNU GPL</title>
<category>Miscellaneous</category><version>0</version><license>GNU GPL</license><description>Source code for Biotorrents (www.biotorrents.net) as of January 8, 2010 (svn revision 137).

This work is licensed under the GNU GPL. 
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<item>
<title>bactFam.hmm2 (Password Protected)- </title>
<category>Password Protected</category><version>0</version><license></license><description>503 bacterial families were generated for 85 bacterial representative genomes, they have unversality of >=70. 56 of them can be phylogenetic markers

the zip file is password protected (password posted to iseem internal website)
it inlcude sequences, alignments and hmms for all the 503 families
</description>
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<title>GEBA Data (Genomics)- </title>
<category>Genomics</category><version>0</version><license></license><description>Genomic Encyclopedia of Bacteria and Archaea (GEBA)

The GEBA project is aimed at systematically filling in the gaps in sequencing along the bacterial and archaeal branches of the tree of life. Though the wide variety of microbial sequencing projects undertaken throughout the world has created a rich, diverse collection of microbial genomes, strong biases in what has been sequenced thus far are evident. This project represents the first systematic attempt to use the tree of life itself as a guide to sequencing target selection.

http://www.jgi.doe.gov/programs/GEBA/

Files
GEBA.con: DNA sequences of contigs from 56 GEBA genomes
GEBA.faa: peptide sequences of all the predicted genes from the 56 GEBA genomes
GEBA.seq: DNA sequences of all the predicted genes from the 56 GEBA genomes
</description>
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<item>
<title>JCVI.Cloud.BioLinux.2009.09.18.IMG.ZIP-OpenSci (Bioinformatics)- </title>
<category>Bioinformatics</category><version>0</version><license></license><description>JCVI.Cloud.BioLinux.2009.09.18.IMG.ZIP-OpenSci

Homepage: https://sourceforge.net/projects/jcvicloud/
Alternate Download: https://sourceforge.net/projects/jcvicloud/files/JCVI-Cloud-BioLinux.zip/download
Distributor: Mininova http://mininova.org
Release Group: OpenSci http://twitter.com/OpenSci

JCVI Cloud BioLinux image enables scientists to quickly provision computation infrastructures supporting bioinformatics using cloud computing platforms such as Amazon EC2 and Eucalyptus.   Upon deployment users will have instant access to a host of software including BLAST, glimmer, hmmer, phylip, rasmol, genespring, clustalw, the Celera Assembler, and the EMBOSS collection of utilities.  JCVI Cloud BioLinux is built on a 64-bit instance of Ubuntu virtual server customized with bioinformatics packages from the BioLinux repository, and will be updated periodically. </description>
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<item>
<title>ComboDB-flatfile (Bioinformatics)- </title>
<category>Bioinformatics</category><version>0</version><license></license><description>## About
This is the Flatfile version of ComboDB. It contains the sequance and attributes of all completed genomes.
For more information, go to edhar.genomecenter.ucdavis.edu/~sbhatnagar/ComboDB/index.php

## Usage
Unzip the file as
	tar -xvf *
Use routine shel scripts or Folder viewer to navigate through.</description>
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<title>ComboDB-mysql (Bioinformatics)- </title>
<category>Bioinformatics</category><version>0</version><license></license><description>## About
This is the MySQL version of ComboDB. It contains just the attributes of all completed genomes and
it's contigs and CDS in an easy to query format.
For more information, go to edhar.genomecenter.ucdavis.edu/~sbhatnagar/ComboDB/index.php

## Usage
Use the restore feture of youyr MySQL installation to load the database.</description>
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<title>Pfam hmm release 24 (Genomics)- </title>
<category>Genomics</category><version>0</version><license></license><description>This contains *only* the Pfam-A.hmm and Pfam-B.hmm files from Pfam release 24.
If running Hmmer3 these are the only files you need. 

Instructions for use with HMMER
-gunzip Pfam-A*
-hmmpress Pfam-A.hmm
-hmmpress Pfam-B.hmm
-hmmscan Pfam-A.hmm your_fasta_file.faa

Files were downloaded from:
ftp://ftp.sanger.ac.uk/pub/databases/Pfam/releases/Pfam24.0/

Release notes from Pfam FTP site: 

PFAM : Multiple alignments and profile HMMs of protein domains
			     RELEASE 24.0
		--------------------------------------

1. INTRODUCTION

   Pfam is a collection of protein family alignments which were
   constructed semi-automatically using hidden Markov models (HMMs).
   Sequences that are not covered by Pfam are clustered and aligned
   automatically, and released as Pfam-B.  Pfam families have
   permanent accession numbers and contain functional annotation and
   cross-references to other databases, while Pfam-B families are
   re-generated at each release and are unannotated.


2. LOCATIONS

   Pfam is available on the web at:
  
	http://pfam.sanger.ac.uk/
	http://pfam.cgb.ki.se/
	http://pfam.janelia.org/
	http://pfam.jouy.inra.fr/
	http://pfam.ccbb.re.kr/

3. STATISTICS

                            Pfam                         Pfam-B
                    -----------------------      -----------------------
  Release   Date  families sequences  residues   families sequences  residues   Source
  -------  -----  -------- --------- ----------  -------- --------- ---------  ---------
  
    0.2    01/96       100     10431    2246421     11763     32081   9200334  Swiss 32
    1.0    04/96       175     15610    3560959     11929     31931   8957230  Swiss 33
    2.0    03/97       527     28170    6770529     13289     31349   8224614  Swiss 34
    2.1    10/97       527     28205    6790960     13289     31349   8224614  Swiss 34
    3.0    06/98       806     99043   22766133     33550     79544  20648530  Swiss 35    + SP-TrEMBL 5
    3.1    09/98      1313    114750   27573470     33550     79544  20648530  Swiss 35    + SP-TrEMBL 5
    3.2    10/98      1344    115155   27689081     33550     79544  20648530  Swiss 35    + SP-TrEMBL 5
    3.3    12/98      1390    119420   28085438     33550     79544  20648530  Swiss 35    + SP-TrEMBL 5
    3.4    01/99      1407    119963   28343136     33550     79544  20648530  Swiss 35    + SP-TrEMBL 5
    4.0    05/99      1465    147347   34476183    128689    123610  33470292  Swiss 37    + SP-TrEMBL 9
    4.1    07/99      1488    148195   34692597     36739     89640  22510097  Swiss 37    + SP-TrEMBL 9
    4.2    08/99      1664    155979   36683193     40017     99587  24062200  Swiss 37    + SP-TrEMBL 9
    4.3    09/99      1815    161833   37803491     39506     97492  23115975  Swiss 37    + SP-TrEMBL 9
    4.4    11/99      2000    164412   38411490     39200     96055  22552453  Swiss 37    + SP-TrEMBL 9
    5.0    01/00      2008    178110   41516321     39228     96077  22506088  Swiss 38    + SP-TrEMBL 11
    5.1    02/00      2015    179782   41704446     42357    103709  24762358  Swiss 38    + SP-TrEMBL 11
    5.2	   03/00      2128    181068   42018555	    42163    102843  24471000  Swiss 38    + SP-TrEMBL 11
    5.3	   05/00      2216    183695   42512479	    41974    102024  23952537  Swiss 38    + SP-TrEMBL 11
    5.4    06/00      2290    185251   42659663     41885    101728  23774015  Swiss 38    + SP-TrEMBL 11
    5.5    09/00      2478    190302   43837632     41232     99302  22716640  Swiss 38    + SP-TrEMBL 11
    6.0    01/01      2697    258321   59332756     40681     96571  21789591  Swiss 39    + SP-TrEMBL 14
    6.1    03/01      2727    260202   59586847     40230     96128  21545422  Swiss 39    + SP-TrEMBL 14
    6.2    04/01      2773    260570   59749821     58924    131100  30096444  Swiss 39    + SP-TrEMBL 14
    6.3    05/01      2847    261546   60210817     58539    130194  29602298  Swiss 39    + SP-TrEMBL 14
    6.4    05/01      2866    262071   60508404     58297    129257  29370968  Swiss 39    + SP-TrEMBL 14
    6.5    06/01      2929    264276   61192015     57891    127861  28892585  Swiss 39    + SP-TrEMBL 14
    6.6    08/01      3071    267598   61976627     57477    126378  28143196  Swiss 39    + SP-TrEMBL 14
    7.0    01/02      3360    409136   93681071     78233    179966  39684197  Swiss 40    + SP-TrEMBL 18
    7.1	   03/02      3621    413112   94740523	    77733    178097  38784346  Swiss 40    + SP-TrEMBL 18
    7.2    04/02      3735    417711   95253221     77408    177141  38445765  Swiss 40    + SP-TrEMBL 18
    7.3    05/02      3849    419102   95460308     83108    193509  41854966  Swiss 40    + SP-TrEMBL 18
    7.4    07/02      3882    419360   95369593     83166    193462  41907032  Swiss 40    + SP-TrEMBL 18
    7.5    08/02      4176    424307   96575650     82343    190360  40849796  Swiss 40    + SP-TrEMBL 18
    7.6    09/02      4463    428237   97335169     81669    187725  40073352  Swiss 40    + SP-TrEMBL 18
    7.7    10/02      4832    435353   99654093     80001    182610  38092326  Swiss 40    + SP-TrEMBL 18
    7.8    11/02      5049    437970  100096164     79427    181013  37469930  Swiss 40    + SP-TrEMBL 18
    8.0    02/03      5193    626452  142233861     76370    174607  35686841  Swiss 40.31 + SP-TrEMBL 22.0
    9.0    05/03      5722    705698  160653012     98158    232641  46847522  Swiss 41.0  + SP-TrEMBL 23.0
   10.0    07/03      6190    733829  167492698     96550    227325  45381141  Swiss 41.10 + SP-TrEMBL 23.15
   11.0    10/03      7255    805978  184093744     94757    220445  43457201  Swiss 41.25 + SP-TrEMBL 24.14
   12.0    01/04      7316    898590  205356517    108951    262041  53933483  Swiss 42.5  + SP-TrEMBL 25.6
   13.0    04/04      7426    899152  205367676    108119    260253  53251778  Swiss 42.12 + SP-TrEMBL 25.12
   14.0    05/04      7459    903115  206720690    107460    259106  52378429  Swiss 43.2  + SP-TrEMBL 26.2
   15.0    08/04      7503   1105589  251318620    140216    357340  70848731  Swiss 44.0  + SP-TrEMBL 27.0
   16.0    10/04      7677   1164599  264667462    139134    353883  69591421  Swiss 44.5  + SP-TrEMBL 27.5
   17.0    03/05      7868   1321755  297821068    129746    336353  63302856  Swiss 46.0  + SP-TrEMBL 29.0
   18.0    07/05      7973   1426410  322176782    128469    327279  61569471  Swiss 47.0  + SP-TrEMBL 30.0 
   19.0    11/05      8183   1728628  391195934    127296    322743  60022455  Swiss 48.1  + SP-TrEMBL 31.1 
   20.0    04/06      8296   2062824  468403714    126439    319735  59164603  Swiss 48.9  + SP-TrEMBL 31.9
   21.0    11/06      8957   2343023  532701643    186970    403510  71601041  Swiss 50.0  + SP-TrEMBL 33.0
   22.0    06/07      9318   2990695  679928271    182493    472700  87434067  Swiss 51.7  + SP-TrEMBL 34.7
   23.0    07/08     10340   3925943  890618067    223403   1029669 215585168  Swiss 54.5  + SP-TrEMBL 37.5
   24.0    07/09     11912   7079739 1627712293    142303    940849 171679060  Swiss 57.6  + SP-TrEMBL 40.6


                            NCBI pfam            
                    -----------------------      
  Release   Date  families sequences  residues  seq coverage res coverage Source 
  -------  -----  -------- --------- ---------- ------------ ------------ ------
   23.0    07/08     10305   8334719 1674388721       66.39%      50.93%  rel162
   24.0    08/09     11883  11223814 2279289638       69.51%      53.60%  rel172

                             Metaseq pfam
                    -----------------------
  Release   Date  families sequences   residues seq coverage res coverage  
  -------  -----  -------- --------- ---------- ------------ ------------
   23.0    07/08      6438    3055905 448190722       46.21%       33.47%
   24.0    07/08      7841    4388839 705254062       66.37%       53.66%

4. CONSTRUCTION OF PFAM

   Pfam is based on a sequence database called Pfamseq - Pfamseq 24 is
   based on UniProt 15.6 (Swiss-Prot 57.6 and SP-TrEMBL 40.6).  These databases 
   can be accessed at:

      ftp://ftp.ebi.ac.uk/pub/databases/swissprot/release/
      ftp://ftp.ebi.ac.uk/pub/databases/trembl/

   Pfamseq 24 contains 9421015 sequences and 3060696203 residues.

   Metaseq is a collection of metagenomic sequence sample sets that contains 
   6612632 sequences and 1314268346 residues.

   NCBI non redundant sequence database release 172 contains 16146658
   sequences and 4252521171 residues.

   Pfam-B has been constructed using ADDA.


5. DESCRIPTION OF CHANGES FROM RELEASE 23.0 to 24.0

   Release 24.0 contains a total of 11912 families, with 1808 new
   families and 236 families killed since the last release.  75.15% of
   all proteins in Pfamseq contain a match to at least one Pfam
   domain.  53.18% of all residues in the sequence database fall within
   Pfam domains.

   Release 24.0 is the first release to be generated using HMMER3.
   This migration has necessitated changes in our file formats and
   users should be aware that HMMER3 is not backward compatible with
   HMMER2.  For a full list of changes please view the documentation 
   on the Pfam website.
   
6. FUTURE FORMAT CHANGES

   No major changes for the format of the flatfile planned for next
   release.

   The swisspfam file will be depracated from the next release.


7. DESCRIPTION OF RELEASE FILES

   relnotes.txt      - This file.
   userman.txt       - A fuller description of Pfam fields.
   Pfam-A.hmm        - Pfam-A HMMs in an HMM library searchable with the hmmscan program.
   Pfam-A.seed       - Annotation and seed alignments of all Pfam-A families in Pfam format.
   Pfam-A.full       - Annotation and full alignments of all Pfam-A families in Pfam format.
   Pfam-A.full.ncbi  - Annotation and full alignments of all Pfam-A families against NCBI genpept database.
   Pfam-A.full.meta  - Annotation and full alignments of all Pfam-A families against metagenomic datasets.
   Pfam-A.fasta	     - A list of sequences in each Pfam-A family in fasta format.
   Pfam-A.dead	     - All Pfam-A families that have been removed from the database.
   Pfam-B.hmm        - The first (and largest) 20,000 Pfam-B HMMs in an HMM library searchable with the hmmscan program.
   Pfam-B            - All Pfam-B families.
   Pfam-C            - A list of all the clans, containing annotation and lists of Pfam-A entries in the clan
   diff              - A list of files for each family that have changed since the last release.
   pfamseq	     - The underlying sequence database in fasta format.
   ncbiseq           - The NCBI genpept database in fasta format.
   metaseq           - The metagenomics sequences in fasta format.
   swisspfam         - Pfam domain organisation of all proteins in Pfamseq.




8. DESCRIPTION OF FIELDS

   Compulsory fields:
   ------------------

   AC   Accession number:           Accession number in form PFxxxxx.version or PBxxxxxx.
   ID   Identification:             One word name for family.
   DE   Definition:                 Short description of family.
   AU   Author:                     Authors of the entry.
   SE   Source of seed:             The source suggesting the seed members belong to one family.
   GA   Gathering method:           Search threshold to build the full alignment.
   TC   Trusted Cutoff:             Lowest sequence score and domain score of match in the full alignment.
   NC   Noise Cutoff:               Highest sequence score and domain score of match not in full alignment.
   TP   Type:                       Type of family -- presently Family, Domain, Motif or Repeat.
   SQ   Sequence:                   Number of sequences in alignment.
   //                               End of alignment.

   Optional fields:
   ----------------

   DC   Database Comment:           Comment about database reference.
   DR   Database Reference:         Reference to external database.
   RC   Reference Comment:          Comment about literature reference.
   RN   Reference Number:           Reference Number.
   RM   Reference Medline:          Eight digit medline UI number.
   RT   Reference Title:            Reference Title.
   RA   Reference Author:           Reference Author
   RL   Reference Location:         Journal location.
   PI   Previous identifier:        Record of all previous ID lines.
   KW   Keywords:                   Keywords.
   CC   Comment:                    Comments.
   NE   Pfam accession:		    Indicates a nested domain.
   NL   Location:                   Location of nested domains - sequence ID, start and end of insert.

   Obsolete fields:
   -----------
   AL   Alignment method of seed:   The method used to align the seed members.
   AM   Alignment Method:	    The order ls and fs hits are aligned to the model to build the full align.

9. ACKNOWLEDGEMENTS
   
   We are grateful to the many people who contributed data:
   L. Aravind, Laurence Etwiller, Matthew Bashton, Peer Bork, Richard
   Copley, Tim Dudgeon, Anton Enright, Nicola Kerrison,  Nina Mian, 
   William Mifsud, Chris Ponting, Joerg Schultz, Val Wood, David Waterfield,
   Simon Moxon, Dan Haft, Owen White, Matthew Fenech, Stephen
   Sammut, Joanne Pollington and O. Luke Gavin as well as many others.
   

10. REFERENCES

   Papers on Pfam are listed below:

   i)    Sonnhammer ELL, Eddy SR, Durbin R. Proteins: Structure, 
         Function and Genetics 28:405-420 (1997).

   ii)   Sonnhammer ELL, Eddy SR, Birney E, Bateman A, Durbin R.
         Nucleic Acids Research 26:320-322 (1998).

   iii)  Bateman A, Birney E, Durbin R, Eddy SR, Finn RD, Sonnhammer ELL.
         Nucleic Acids Research 27:260-262 (1999).

   iv)   Bateman A, Birney E, Durbin R, Eddy SR, Howe KL, Sonnhammer ELL.
	 Nucleic Acids Research 28:263-266 (2000).

   v)    Bateman A, Birney E, Cerruti L, Durbin R, Etwiller L, Eddy SR, 
	 Griffiths-Jones S, Howe KL, Marshall M, Sonnhammer ELL.
	 Nucleic Acids Res. 30:276-280 (2002). 

   vi)   Bateman A, Coin L, Durbin R, Finn RD, Hollich V, Griffiths-Jones S,
         Khanna A, Marshall M, Moxon S, Sonnhammer EL, Studholme DJ, Yeats C,
         Eddy SR.
	 Nucleic Acids Res. 32(1):D138-41 (2004).

   vii)  Finn RD, Mistry J, Schuster-Bockler B, Griffiths-Jones S, Hollich V, Lassmann T,
         Moxon S, Marshall M, Khanna A, Durbin R, Eddy SR, Sonnhammer
         EL, Bateman A.
	 Nucleic Acids Res. 34(Database issue):D247-251 (2006).		

   viii) Finn RD, Tate J, Mistry J, Coggill PC, Sammut SJ, Hotz HR, Ceric G, Forslund K, 
         Eddy SR, Sonnhammer EL, Bateman A.
         Nucleic Acids Res. 36(Database issue):D281-288 (2008).

   Please reference the most recent paper.


11. THE PFAM CONSORTIUM

   Pfam is maintained by a consortium of researchers. You can contact
   the Pfam consortium at: 
       pfam-help  "at"  sanger.ac.uk

   The current members of the Pfam consortium are:

   Alex Bateman, Penny Coggill, Richard Durbin, Robert Finn, Jaina Mistry, John Tate: 
   The Wellcome Trust Sanger Institute, UK.

   Lorenzo Cerrutti: ISREC, Switzerland.

   Andreas Heger: University of Oxford, UK.

   Erik Sonnhammer, Kristoffer Forslund: Stockholm Bioinformatics Centre, Sweden

   Sean Eddy, Goran Ceric: Janelia Farm Research Campus, USA
   

12. COPYRIGHT NOTICE

   Pfam - A database of protein domain family alignments and HMMs
   Copyright (C) 1996-2009 The Pfam consortium.

   This database is free; you can redistribute it and/or modify it
   under the terms of the GNU Library General Public License as
   published by the Free Software Foundation; either version 2 of the
   License, or (at your option) any later version.

   In summary, you are free to redistribute *verbatim* copies of Pfam
   or any Pfam files in any way you like, including packaging Pfam in
   proprietary software, so long as your copy of Pfam retains our
   copyright notice and the GNU license. You may also make *modified*
   copies of Pfam and distribute them, but your derivative database
   must be freely distributed under the GNU LGPL. Many academic
   freeware licenses prohibit any form of commercial use. In contrast,
   the intent of our license is that Pfam should be freely available
   to both industrial and academic researchers, including the use of
   the Pfam database in commercial software; however, proprietary
   modifications of the Pfam database itself are
   prohibited. Proprietary modification of the Pfam database is
   possible only by a separate formal licensing agreement from the
   Pfam consortium and our host institutions. See the file GNULICENSE
   for the full text of the GNU Library General Public License.

   This database 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
   Library General Public License for more details.

   You may also obtain a copy of the GNU LGPL by writing to the Free
   Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
   02111-1307, USA.

___________________
The Pfam Consortium 
2009
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<title>BioPuppy2.0 Beta (Bioinformatics)- </title>
<category>Bioinformatics</category><version>0</version><license></license><description>---------------------------------------------------------------------
Software: BioPuppy Linux 2.0 released
Submitted by Prakash Srinivasan; posted on Tuesday, November 17, 2009
---------------------------------------------------------------------
BioPuppy is an open source minimal Linux OS for bioinformatics, based on Puppy Linux.  It has tremendous support from all over the world.  More than 500 Universities/colleges and thousands of individuals have downloaded and are using it.  And we have just released the second version, which includes updates and more bioinformatics applications.

AVAILABILITY:
http://www.biopuppy.org/
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<item>
<title>all metagenomic peptides vs pfam (Metagenomics)- </title>
<category>Metagenomics</category><version>0</version><license></license><description>All metagenomic peptide sequences from CAMERA were downloaded and searched against PFAMs using hmmscan from the HMMER 3 beta 2 package.

Output looks like this:
#                                                   --- full sequence ---- --- best 1 domain ---- --- domain number estimation ----
# target             query                    E-value  score  bias   E-value  score  bias   exp reg clu  ov env dom rep inc description of target
#-------------------   -------------------- --------- ------ ----- --------- ------ -----   --- --- --- --- --- --- --- --- ---------------------
PRK                  JCVI_PEP_1112677232318   2.9e-17   62.4   0.1   3.1e-17   62.3   0.1   1.0   1   0   0   1   1   1   1 -
FBPase               JCVI_PEP_1112677232314   6.2e-77  258.0   0.0   6.9e-77  257.8   0.0   1.0   1   0   0   1   1   1   1 -
ATP_bind_3           JCVI_PEP_1112677232286   1.5e-31  108.7   0.4   2.7e-31  107.9   0.2   1.4   1   0   0   1   1   1   1 -
CPSase_L_D2          JCVI_PEP_1112677232360   7.1e-55  185.3   0.0   9.2e-55  184.9   0.0   1.1   1   0   0   1   1   1   1 -
CPSase_L_chain       JCVI_PEP_1112677232360   1.2e-09   38.0   0.0   2.1e-09   37.3   0.0   1.3   1   0   0   1   1   1   1 -
ATP-grasp            JCVI_PEP_1112677232360   4.3e-06   26.5   0.0   5.7e-06   26.1   0.0   1.2   1   0   0   1   1   1   1 -
GARS_A               JCVI_PEP_1112677232360   8.1e-05   21.9   0.0   0.00013   21.2   0.0   1.4   1   0   0   1   1   1   1 -
...

Note: data can be decompressed faster by using pbzip2

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<title>all metagenomic peptides (Metagenomics)- </title>
<category>Metagenomics</category><version>0</version><license></license><description>All metagenomic peptides were downloaded from CAMERA as file "node1055606926236189023.fasta".
This file is orginally 44GB uncompressed, but after removal of extras in fasta header line the file is now 7.7GB (only seq id and sample id were kept in definition line).

For example each sequence looks like this:
>JCVI_PEP_1112677232278 /sample_id=JCVI_SMPL_1103283000053
VPFQLRFSALAVTGLSLFLAACGGDDDHHGDASDAAKPLNLQVLYTNDHHSYFEGQSFDL
NLDYDANQPGGETVRLSLGGFPRIITAMNDYRDDHTLVLNNGELNGTLYFSLX

instead of the original
>JCVI_PEP_1112677232278 /orf_id=JCVI_ORF_1112677232277 /read_id=JCVI_READ_1099702223732 /begin=529 /end=867 /orientation=1 /5_prime_stop=TGA /5_prime_loc=496 /3_prime_stop=TGA /ttable=11 /length=113 /sample_id=JCVI_SMPL_1103283000053 /sample_name=GS048a /number_of_sites=1 /site_id_1=JCVI_SITE_GS048 /location_1="Inside Cook's Bay, Moorea, French Polynesia" /region_1="Indian Ocean" /sample_depth_1="1.3 m" /chlorophyll_density_1="0.095 (0.091 +/- 0.02) mg/M3 (Month +/- SD)" /salinity_1="35.1 ppt" /temperature_1="28.9 C" /water_depth_1="34 m" /ip_notice="This genetic information downloaded from http://camera.calit2.net may be considered to be part of the genetic patrimony of France, the country from which the  sample was obtained. Users of this information agree to: (1) acknowledge France as the country of origin in any publications where the genetic information is presented and (2) contact the CBD focal point identified on the CBD website (http://www.biodiv.org/doc/info-centre.shtml) if they intend to use the genetic information for commercial purposes."
VPFQLRFSALAVTGLSLFLAACGGDDDHHGDASDAAKPLNLQVLYTNDHHSYFEGQSFDLN
LDYDANQPGGETVRLSLGGFPRIITAMNDYRDDHTLVLNNGELNGTLYFSLX

Note: data can be decompressed faster by using pbzip2</description>
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<title>MicrobeDB 2009-10-26 (Genomics)- </title>
<category>Genomics</category><version>0</version><license></license><description>--About--
MicrobeDB provides centralized storage and access to completed Archaea and Bacteria genomes that have been parsed into a MySQL database for easier access.
All microbial genomes are obtained from http://www.ncbi.nlm.nih.gov/genomes/lproks.cgi
Then information at the genome project, chromosome, and gene level are parsed and stored in a MySQL database including sequences and annotations. 
Finally, a Perl API is provided to interface with the MYSQL database and allow easy use of the data.
A presentation providing more information about MicrobeDB is online at: http://tinyurl.com/microbedb

--Install--
-decompress all directories (tar -xvjf *) Note: pbzip2 was used for compression
-follow instructions in microbedb/information/INSTALL


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<title>E coli Shigella 29way genome alignment (Genomics)- </title>
<category>Genomics</category><version>0</version><license></license><description>This is a 29way genome alignment compute with the Mauve genome aligner, version 2.3.0.
</description>
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<title>Taverna-workbench-2.1.b2 Windows (Bioinformatics)- GNU LGPL</title>
<category>Bioinformatics</category><version>1</version><license>GNU LGPL</license><description>Taverna is a tool for designing and running web service pipelines/workflows:

http://www.mygrid.org.uk/tools/taverna/

Downloaded from: http://www.mygrid.org.uk/tools/taverna/taverna-2-0/download-taverna-2-1-b2/

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<title>Public.Library.of.Science.PLoS.Biology.2003-PMC-OpenSci (Papers)- </title>
<category>Papers</category><version>0</version><license></license><description>Public.Library.of.Science.PLoS.Biology.2003-OpenSci

Publisher:  Public Library of Science
Publication:  PLoS Biology
Year:  2003
Volume:  1
Issue:  1-3
License:   http://creativecommons.org/licenses/by/2.5 Creative Commons Attribution 2.5 
Source:   http://www.pubmedcentral.nih.gov/about/ftp.html PubMed Central FTP Service 

 http://journals.plos.org/ PLoS Biology 
PLoS Biology (eISSN-1545-7885; ISSN-1544-9173) is an open-access, peer-reviewed general biology journal published by the Public Library of Science (PLoS), a nonprofit organization of scientists and physicians committed to making the world's scientific and medical literature a public resource. New articles are published online weekly; issues are published monthly.

 http://www.pubmedcentral.nih.gov/about/openftlist.html PubMed Central Open Access Subset   ftp://ftp.ncbi.nlm.nih.gov/pub/pmc FTP Service 
Source files from the PMC Open Access Subset may include:
1. A .nxml file, which is XML for the full text of the article, encoded in the NLM Journal Archiving and Interchange DTD.
2. A PDF file of the article.
3. Image files from the article, and graphics for display versions of mathematical equations or chemical schemes.
4. Supplementary data, such as background research data or videos.

Source files are listed in file.list.txt for download using wget:
wget --input-file=file.list.txt

Distributed by http://mininova.org Mininova andhttp://opensci.info Open Science Information</description>
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