Re: Licensing terms for data derived from ARB/SILVA data
Dear Sascha Steinbeiss,
many thanks for your request and interest in the SILVA databases.
Before we can answer your question may I ask you to provide us with some
more information about the:
1. name of the tool
2. functionality of the tool, e.g. does it just detect rRNAs, and/or
does it classify sequences?
All the best
Frank Oliver Glöckner
Am 26.11.2014 12:34, schrieb Sascha Steinbiss:
Dear ARB/SILVA team,
I am writing to inquire about a special case regarding your data
licensing terms.
I am involved with the Debian Med project
(https://www.debian.org/devel/debian-med/), whose goal it is to provide
software from the medical and bioinformatics fields to users of the
Debian Linux distribution. Currently I am working on packaging a piece
of free (GPL) software for prediction of rRNA genes in sequences. This
software requires (and would be bundled with) a set of nucleotide
profile HMMs (built with HMMER) based on several individual data
sources. One of the data sources used to build these HMMs was the file
LSURef_115_tax_silva_full_align_trunc.fasta, available from your database.
Since your licensing terms
(http://www.arb-silva.de/silva-license-information/) are not clear about
how derivatives of your data are to be licensed, I would like to ask
whether it would be OK for us to package and redistribute these HMMs
under a free license, for both academic and non-academic users. I wish
to make it clear here that the original file
LSURef_115_tax_silva_full_align_trunc.fasta will NOT be included in the
package, only HMMs built from it (and other free sources).
I am looking forward to your response.
Best regards
Sascha Steinbiss
--
Prof. Dr. Frank Oliver Glöckner
Head of the Microbial Genomics and Bioinformatics Research Group
Max Planck Institute for Marine Microbiology
Jacobs University Bremen gGmbH
E-mail: fog@mpi-bremen.de
Address:
MPI for Marine Microbiology
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28359 Bremen
MPI: +49 (0) 421 2028 970
Jacobs: +49 (0) 421 200 3167
Fax: +49 (0) 421 2028 580
Mobile: +49 (0) 172 82 70 191
WWW:
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Submit your next paper to:
http://www.journals.elsevier.com/marine-genomics/
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