Taking Turns

BOSC 2019 will be part of ISMB 2019

Every year until 2018, BOSC was part of the annual ISMB conference as a community of special interest (COSI, formerly known as a SIG, Special Interest Group). As part of our continuing quest to broaden and deepen the BOSC community, we decided to perform an experiment this year by partnering with the Galaxy Community Conference rather than with ISMB. As we reported, the experiment was a success–participants were overwhelmingly positive about the experience, and the conference did attract a somewhat different mix of attendees than in past years. However, we also concluded that there are some advantages to meeting with ISMB–for example, it attracts more students and postdocs, and the presence of other COSI tracks provides a wider range of scientific topics. Moreover, unlike the GCC 2018 venue, the venue already chosen for GCC 2019 has a number of drawbacks: we wouldn’t be able to run similarly-sized parallel sessions; registration prices wouldn’t be as affordable as in 2018; and the venue would not be able to accommodate the larger (160 people) and longer (four days) CollaborationFest that was one of the highlights of GCCBOSC 2018.

For these and other reasons, the BOSC organizing committee concluded that the best way to serve the broadest community of potential BOSC attendees will be to partner with ISMB some years and GCC some years. We therefore plan to hold BOSC 2019 in Basel as part of ISMB. We hope to partner with GCC in 2020 at a North American site to be determined, or in 2021 in Europe.

Wherever we hold future BOSCs, you can be sure that they will include a wide range of topics in open science and open source bioinformatics, and we hope that they will draw an ever-diversifying mix of attendees. As always, we welcome your feedback about what you liked in past BOSCs and your suggestions for the future. Feel free to email us (bosc@open-bio.org) or tweet (@OBF_BOSC).

Posted in Blogroll, BOSC/ISMB, Community, OBF, Uncategorized | Tagged , , , , , | Leave a comment

GCCBOSC 2018 post-meeting report

This year, the Galaxy Community Conference (GCC) and the Bioinformatics Community Conference (BOSC) met together to form the first Bioinformatics Community Conference. At GCCBOSC 2018, participants were able to meet and collaborate with a broad community of bioinformatics developers and users who focus on open, interoperable software tools and libraries that facilitate scientific research.

Held in June 2018 at Reed College in Portland, Oregon, GCCBOSC attracted nearly 300 participants from around the world. The meeting started with two days of training workshops (Figure 1). The main meeting had some parallel sessions and some joint sessions, including well-received keynote talks by Tracy Teal, Fernando Pérez and Lucia Peixoto, as well as a panel discussion about documentation and training. Posters, demos and Birds of a Feather sessions (BoFs) gave participants opportunities to engage in discussions about topics of mutual interest. After the main meeting, many attendees stayed for up to four additional collaboration days (the CollaborationFest, or CoFest).

Figure 1. Participants at one of the GCCBOSC training workshops. (All GCCBOSC photographs in this post are from Bérénice Batut’s Flickr album, under a CC-BY-SA license.)

Figures 2,3. Attendees and presenters mingled at the poster/demo sessions.

Figure 4. CoFest attendees assembled for morning meetings before breaking into smaller groups to work on collaborative projects.

There was wide agreement among GCCBOSC participants that the meeting was informative, productive and enjoyable. Comments from participants in the post-meeting survey included, “Loved the mix of communities!”, “Location was great,” and “Nice conference. Nice atmosphere. Nice people. I really enjoyed it. Thanks!”. The training workshops and extended CoFest were mentioned by participants as great features of the meeting. Most of the survey respondents who had previously attended a GCC or BOSC rated this year’s meeting as similar or better than past meetings (Figure 5). The main complaint was that the parallel GCC and BOSC sessions forced attendees to choose between them–an embarrassment of riches.

Figure 5: Responses to post-GCCBOSC survey questions from those who had been to previous GCCs or previous BOSCs.

Although post-meeting feedback was almost entirely positive, we did receive two reports of behavior at GCCBOSC that the reporter perceived as not consistent with the spirit of the Code of Conduct. These were handled by the GCCBOSC organizing committee, and everyone involved is satisfied with the outcome. The discussions held by the organizers around these issues led us to re-examine the CoC and think about how we might want to revise it for future meetings. Your input on this topic (or anything regarding GCCBOSC) is welcome.

We are grateful to all those who helped make GCCBOSC 2018 a success: the organizers, presenters, workshop leaders, participants, and our generous sponsors, including Platinum sponsor Google Cloud and Gold sponsor Lenovo + Intel. Thanks in part to sponsor funding, we were able to offer subsidized child care and an onsite lactation room that enabled a speaker who would otherwise have been unable to attend to bring her four-month-old baby and participate actively in the meeting.

Whether or not you attended GCCBOSC 2018, we look forward to interacting with you in the future!

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Following up from BOSC’s OBF Birds of a Feather meeting

It was really great to meet so many of you at GCCBOSC this year! We will soon have a couple of Travel Fellowship blog posts talking about the conference, so we won’t provide too much of a general overview at this point, but we would like to share a little more about one of the Bird of Feather (BoF) events we ran – specifically the OBF community BoF.

The aim of this BoF was to engage anyone who was:

  • Curious about the OBF
  • Interested in suggesting ideas
  • Wanting to help or get more involved with the OBF

The OBF BoF started with a pre-dinner round where we all introduced ourselves and why we were interested in the OBF, and a second round after a quick bite and relocating inside – Portland can get chilly fast in the evening!

Motivations for participating in the BoF included a desire to help people who come from a software background learn more about the biology / bioinformatics side of things. Other participants shared the feeling that they loved the conference but weren’t sure how to take home the “open / good practices make for better software and better research” message we were trying to share.

We ended up with lot of brainstorming and helpful discussions – here are some of the topics.

OBF logo and site

The OBF logo is over a decade old now and looks a little… dated. When we floated the idea of redesigning it at the meeting, we didn’t expect to have sketches roughed out by several attendees before the end of the BoF meeting! We’ve ended up with three different design sets, which you can check out or comment on in this GitHub issue. We’re also considering updating the entire OBF site, if we can find someone to work on that (possibly a summer intern).

Increasing year-round sense of community

For many people, BOSC and the OBF are approximately the same thing – which makes sense, since BOSC is one of the biggest and most noticable things we do. We’d like to support open bioinformatics all year, though. Possible ways we could do this:

  • Local OBF / bioinformatics meetups or hackathons. If the OBF created guidelines for this, would you be interested in running a group in your area?
  • Newsletters with project updates, interesting open / bioinformatics news, events, etc.
  • “How to be open in bioinformatics” webinar – a sort of “open 101” for projects that are interested in being open but aren’t sure where to start. This would be a nice way to kick-start projects that want to present a poster or talk at BOSC but don’t yet meet the openness requirements. (Note that anyone is allowed to attend BOSC, whether or not they have any open repositories – it’s only presenting that mandates a fully open project.)

Joining the OBF as a project or individual

A pertinent question asked at the BoF was: why join, as an individual? Many people have attended BOSC multiple times and even been heavily involved in the community without officially being in the rolls of registered members. The primary reason to join is the ability for membership to vote on issues pertaining to the OBF. In the next few months, we’re hoping to run a vote on changing OBF bylaws pertaining to how projects join, as well as a plain to adopt a Code of Conduct that may apply to both the OBF and its member projects. If this matters to you because A) you care about a project that might be joining soon (there are a couple!) or B) you’d like to see the OBF adopt a more explicit behaviour standard in the form of a CoC, please join the OBF so you can vote!

Get involved

After reading all this, if you’re interested in helping out with any of the ideas or initiatives suggested, please follow up by any of these mechanisms:

  • Open an issue on our OBF-docs repo – this is our preferred method as it allows others to chime in easily and is less transient than a tweet.
  • Leaving a comment on this post!
  • Tweet to @obf_news

Also – please don’t forget to join the OBF if you haven’t already. Any BOSC attendee automatically qualifies for membership, and even if you haven’t attended BOSC before, if you’re reading this post there’s a good chance you’ll fulfil the requirements anyway. Details are in the form!


Posted in BOSC/ISMB, Community | Tagged , , | Leave a comment

Biopython 1.72 released

Dear Biopythoneers,

I’m writing this in Portland at the GCC BOSC 2018 conference, where I will present the Biopython Project Update 2018 talk tomorrow. Yesterday during my airport layover in Iceland, I published the Biopython 1.72 release to our website and PyPI:


This release of Biopython supports Python 2.7, 3.4, 3.5 and 3.6. It has also been tested on PyPy2.7 v6.0.0 and PyPy3.5 v6.0.0.

Internal changes to Bio.SeqIO have sped up the SeqRecord .format method and SeqIO.write (especially when used in a for loop).

The MAF alignment indexing in Bio.AlignIO.MafIO has been updated to use inclusive end co-ordinates to better handle searches at end points. This will require you to rebuild any existing MAF index files.

In this release more of our code is now explicitly available under either our original “Biopython License Agreement”, or the very similar but more commonly used “3-Clause BSD License”. See the LICENSE.rst file for more details.

The Entrez module now supports the NCBI API key. Also you can now set a custom directory for DTD and XSD files. This allows Entrez to be used in environments like AWS Lambda, which restricts write access to specific directories. Improved support for parsing NCBI Entrez XML files that use XSD schemas.

Internal changes to our C code mean that NumPy is no longer required at compile time – only at run time (and only for those modules which use NumPy).

Seq, UnknownSeq, MutableSeq and derived classes now support integer multiplication methods, matching native Python string methods.

A translate method has been added to Bio.SeqFeature that will extract a feature and translate it using the codon_start and transl_table qualifiers of the feature if they are present.

Bio.SearchIO is no longer considered experimental, and so it does not raise warnings anymore when imported.

A new pairwise sequence aligner is available in Bio.Align, as an alternative to the existing pairwise sequence aligner in Bio.pairwise2.

Many thanks to the Biopython developers and community for making this release possible, especially the following contributors:

  • Benjamin Vaisvil (first contribution)
  • Blaise Li
  • Chad Parmet
  • Chris Rands
  • Connor T. Skennerton
  • Francesco Gastaldello
  • Michiel de Hoon
  • Pamela Russell (first contribution)
  • Peter Cock
  • Spencer Bliven
  • Wibowo ‘Bow’ Arindrarto

Thank you all.


P.S. You can follow @Biopython on Twitter

Checksums for interest/public record:

$ shasum -a 256 biopython-1.72*
























$ md5sum biopython-1.72*


a66e12a83c44ee50f01888129658eba0  biopython-1.72-cp27-cp27m-manylinux1_i686.whl


13b4e63a2a4c97e3fefa5360425f5199  biopython-1.72-cp27-cp27mu-manylinux1_i686.whl


e6ca44a18b5fc65e7ca4267f877fd9cc  biopython-1.72-cp27-cp27m-win32.whl

4978d56508b002591e7b6c931c5d54f4  biopython-1.72-cp27-cp27m-win_amd64.whl


50e8fc0e63ca3ad524ea8c5d237ed6b1  biopython-1.72-cp34-cp34m-manylinux1_i686.whl


1ea11554a42996491c847ae0cf36de97  biopython-1.72-cp34-cp34m-win32.whl

848d5d53c3a6c60d9e94528e6cc35087  biopython-1.72-cp34-cp34m-win_amd64.whl


75b83b673997dbae8a8fe1a6fa15d3e3  biopython-1.72-cp35-cp35m-manylinux1_i686.whl


d76442d3fc18de8953936a6c5ef5a79f  biopython-1.72-cp35-cp35m-win32.whl

f043fa59e3fbd5d505599474aaed74b5  biopython-1.72-cp35-cp35m-win_amd64.whl


49fd975593798f0d7a293ebe327f800e  biopython-1.72-cp36-cp36m-manylinux1_i686.whl


4e0d4de83b89d632a5dad9ee417306f2  biopython-1.72-cp36-cp36m-win32.whl

acdf4e57da4fc90bf7c52c76c2bf4182  biopython-1.72-cp36-cp36m-win_amd64.whl

418fecc41f75353fde30de73586900ac  biopython-1.72.tar.gz

e1db4737caf6bd2f7443f7e3c986ebbb  biopython-1.72.zip
Posted in Biopython, Blogroll, Code, Development, OBF Projects | Tagged , , , , , , , , | Leave a comment

OBF Birds of a Feather at GCCBOSC 2018

If you’re going to GCCBOSC 2018, we invite you to join us at the OBF Birds of a Feather on Wednesday, June 27, from 5:40-7:40pm. Come and chat over dinner! Everyone is invited, whether you’re a longtime OBF member or someone who’s never even heard of the OBF. (By the way, anyone who is involved in open source or open science is welcome to join the OBF, and there is no membership fee.)
More details at https://gccbosc2018.sched.com/event/FCGp
We look forward to seeing some of you there!

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Travel award recipients for April 2018

We had another great round of applications for the OBF Travel Fellowship this spring. After reviewing the applications, the OBF Board selected three recipients, who have all accepted the award.

Congratulations to our spring 2018 recipients:

Watch this space for blog posts from each of the awardees (update – links added above).

The next deadline for travel awards is August 15. You can apply to travel to participate at any event that develops or promotes open source development and open science in the biological research community.The program is aimed at increasing diverse participation at such events. See the OBF travel award page for details and how to apply.

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Saving science from itself: A review of the 2018 eLife Innovation Sprint

This is a guest blog post from Anisha Keshavan, who was supported by the ongoing Open Bioinformatics Foundation travel fellowship program to attend the 2018 eLife Innovation Sprint in Cambridge, May 2018. The OBF’s Travel Fellowship program continues to help open source bioinformatics software developers with funding to attend conferences or workshops. This was one of three awards from our April 2018 travel fellowships call. The current call closes 15 August 2018, you might want to apply?

It is hard for me to put into words the thrill, excitement, and inspiration I’m feeling after attending the 2 day eLife Innovation sprint on May 10th and 11th. The #eLifeSprint (https://elifesciences.org/events/c40798c3/elife-innovation-sprint-2018) in Cambridge, UK, brought together software developers, researchers, designers, and anyone who was passionate about leveraging web technology to advance open scientific communication. The goal: to save science from itself!
Continue reading

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Welcome to our Google Summer of Code 2018 students

The Open Bioinformatics Foundation is again participating in the Google Summer of Code program this year. Last Monday the selected students were announced. Congratulations to all of you, and a heartfelt welcome. I also want to use this opportunity to thank all students who applied. Resources were limited, we did not get all the slots that we asked for, and so we had to make some tough choices.  We wish you all the best for your future endeavours, and hope to be able to work with you in future. The field of bioinformatics is a small one, as you will find out.

The Open Bioinformatics Foundation will host six student projects this year:

  • Hitesh Joshi will be working on a Bionode workflow engine for streamed data analysis
  • Synchon Mandal will be improving the constraint-based modeling in COBRApy
  • Sophia Mersmann will improve the posterior error probability estimation for OpenMS peptide search engine results
  • Edgar Garriga Nogales will implement support for Research Object specification into the Nextflow framework
  • Sarthak Sehgal will be rewriting the front-end code powering the BioJS websites
  • Megh Thakkar will be revamping the back-end of the BioJS websites

Please join me in welcoming all of them to the Open  Bioinformatics community and the respective subprojects. I’m sure we’ll have a great, productive summer together.


Kai Blin
OBF administrator for GSoC 2018

PS: We ask all our students to blog about their summer of code experience and will be updating this post with links to their respective blogs.

Posted in Code, Community, Development, Google Summer of Code, OBF | Tagged , , | Leave a comment

BioJava 5.0.0 is out

BioJava 5.0.0 was released on the 23rd of March 2018. This represents a major milestone that brings more consolidation and reorganisation of modules. This is the first release to be based on Java 8, bring in your lambdas and stream API calls!

The release represents work done in the last 2 years, alpha releases were available for quite some time and now this makes all the changes officially public.

Some major refactoring occurred in the biojava-structure module. The data model to deal with macromolecular structures has been adapted to be closer to the mmCIF data model. Other improvements in biojava-structure are support for MMTF format and improved symmetry detection code.

See the full release notes or browse the official API documentation.

Posted in BioJava, Blogroll, Code, Community, Development, OBF Projects | Tagged , , , , , , | Leave a comment

Biopython 1.71 released

Dear Biopythoneers,

Source distributions of Biopython 1.71 are now available from the downloads page on the official Biopython website, and the release is also on the Python Package Index (PyPI) including pre-compiled Wheel Packages for Linux, Mac OS X and Windows.

This release of Biopython supports Python 2.7, 3.4, 3.5 and 3.6 (we have now dropped support for Python 3.3). It has also been tested on PyPy2.7 v5.10.0 and PyPy3.5 v5.10.1.

Python 3 is the primary development platform for Biopython. We will drop support for Python 2.7 no later than 2020, in line with the end-of-life or sunset date for Python 2.7 itself.

Setup changes:

We now explicitly recommend installation using “pip install biopython”, rather than the classic “python setup.py install” approach. In a related change, we depend on the Python package setuptools (rather than the older package distutils in the Python standard library) and have made the dependency on NumPy explicit and automatic.

License changes:

As of Biopython 1.69, we have started to dual-license Biopython under both our original liberal “Biopython License Agreement”, and the very similar but more commonly used “3-Clause BSD License”. A growing number of the Python files are explicitly available under either license, but most of the code remains under the “Biopython License Agreement” only. See the LICENSE file for more details.

Code changes:

Encoding issues have been fixed in several parsers when reading data files with non-ASCII characters, like accented letters in people’s names. This would raise UnicodeDecodeError: 'ascii' codec can't decode byte ... under some system locale settings.

Bio.KEGG can now parse Gene files.

The multiple-sequence-alignment object used by Bio.AlignIO etc now supports a per-column annotation dictionary, useful for richly annotated alignments in the Stockholm/PFAM format.

The SeqRecord object now has a translate method, following the approach used for its existing reverse_complement method etc.

The output of function format_alignment in Bio.pairwise2 for displaying a pairwise sequence alignment as text now indicates gaps and mis-matches.

Bio.SeqIO now supports reading and writing two-line-per-record FASTA files under the format name “fasta-2line”, useful if you wish to work without line-wrapped sequences.

Bio.PDB now contains a writer for the mmCIF file format, which has been the standard PDB archive format since 2014. This allows structural objects to be written out and facilitates conversion between the PDB and mmCIF file formats.

Bio.Emboss.Applications has been updated to fix a wrong parameter in fuzznuc wrapper and include a new wrapper for fuzzpro.

The restriction enzyme list in Bio.Restriction has been updated to the November 2017 release of REBASE.

New codon tables 27-31 from NCBI (NCBI genetic code table version 4.2) were added to Bio.Data.CodonTable. Note that tables 27, 28 and 31 contain no dedicated stop codons; the stop codons in these codes have a context dependent encoding as either STOP or as amino acid.

IO functions such as SeqIO.parse now accept any objects which can be passed to the builtin open function. Specifically, this allows using pathlib.Path objects under Python 3.6 and newer, as per PEP 519.

Bio.SearchIO can now parse InterProScan XML files.

For Python 3 compatibility, comparison operators for the entities within a Bio.PDB Structure object were implemented. These allow the comparison of models, chains, residues, and atoms with the common operators (==, !=, >, …) Comparisons are based on IDs and take the parents of the entity up to the model level into account. For consistent behaviour of all entities the operators for atoms were modified to also consider the parent IDs. NOTE: this represents a change in behaviour in respect to v1.70 for Atom comparisons. In order to mimic the behaviour of previous versions, comparison will have to be done for Atom IDs and alternative locations specifically.

Additionally, a number of small bugs have been fixed with further additions to the test suite, and there has been further work to follow the Python PEP8PEP257 and best practice standard coding style.


Many thanks to the Biopython developers and community for making this release possible, especially the following contributors:

  • Adhemar Zerlotini
  • Ariel Aptekmann
  • Chris Rands
  • Christian Brueffer
  • Erik Cederstrand (first contribution)
  • Fei Qi (first contribution)
  • Francesco Gastaldello
  • James Jeffryes (first contribution)
  • Jerven Bolleman (first contribution)
  • Joe Greener (first contribution)
  • Joerg Schaarschmidt (first contribution)
  • João Rodrigues
  • Jeroen Van Goey
  • Jun Aruga (first contribution)
  • Kai Blin
  • Kozo Nishida
  • Lewis A. Marshall (first contribution)
  • Markus Piotrowski
  • Michiel de Hoon
  • Nicolas Fontrodona (first contribution)
  • Peter Cock
  • Philip Bergstrom (first contribution)
  • rht (first contribution)
  • Saket Choudhary
  • Shuichiro MAKIGAKI (first contribution)
  • Shyam Saladi (first contribution)
  • Siong Kong
  • Spencer Bliven
  • Stefans Mezulis
  • Steve Bond
  • Yasar L. Ahmed (first contribution)
  • Zachary Sailer (first contribution)
  • Zaid Ur-Rehman (first contribution)

Thank you all.

P.S. You can follow @Biopython on Twitter


$ md5sum biopython-1.71*
b2cd1215bacfb7cb9ee73b6b67695da0  biopython-1.71-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
a85b46133003383e428b05895e5d3613  biopython-1.71-cp27-cp27m-manylinux1_i686.whl
89e368cbcb6517915ee371f27f459b90  biopython-1.71-cp27-cp27m-manylinux1_x86_64.whl
395e12573e9a56130489aafe3617e254  biopython-1.71-cp27-cp27mu-manylinux1_i686.whl
f80e811aeebf9241e03a6ef3d4c9d9c6  biopython-1.71-cp27-cp27mu-manylinux1_x86_64.whl
b98d04351a94eb94a95e57c4ded460c2  biopython-1.71-cp27-cp27m-win32.whl
4997d76f075f4840d82f7d596917ba92  biopython-1.71-cp27-cp27m-win_amd64.whl
47b6e58c03599b4e8a5534efa9171d0c  biopython-1.71-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
53df08929d39abda3c0b668d7d06456c  biopython-1.71-cp34-cp34m-manylinux1_i686.whl
d308f83c49dc38395928348628d24238  biopython-1.71-cp34-cp34m-manylinux1_x86_64.whl
a2f05c067222c31091ad97c6c394e54d  biopython-1.71-cp34-cp34m-win32.whl
b5f26e1288f5124a2a02ffeab7139650  biopython-1.71-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
0f5e731a17b3d5798347a21b88224583  biopython-1.71-cp35-cp35m-manylinux1_i686.whl
4f1fa297348d4797acab537b44480aaa  biopython-1.71-cp35-cp35m-manylinux1_x86_64.whl
cf859db69d1c182f133cd34774ff15ca  biopython-1.71-cp35-cp35m-win32.whl
9eb34690189f4c156157e0991852bb56  biopython-1.71-cp35-cp35m-win_amd64.whl
80cf17e84f22a4ea61e7394a521500f9  biopython-1.71-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
09fbad06133a8b2b9c3d20faa0d6a156  biopython-1.71-cp36-cp36m-manylinux1_i686.whl
d7e15723aac481d945289d179a52a9f9  biopython-1.71-cp36-cp36m-manylinux1_x86_64.whl
80c03614cb3b4c486793e6e31c62403d  biopython-1.71-cp36-cp36m-win32.whl
dc7149f7297176bf0c8ca80fa176ecb0  biopython-1.71-cp36-cp36m-win_amd64.whl
966ac542f39809c37852410a95f641fb  biopython-1.71.tar.gz
4c63ec2a2908adf8d3338f8e8b180514  biopython-1.71.zip
$ shasum -a 256 biopython-1.71*
f919aa78031c00e44350742331f5a1eed7b447bde7812abe2ca0f6a5165900bb  biopython-1.71-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
7449d7df74a298c190fbc9ad60591577acb2e45d5ff788faa8672df460f3dc4d  biopython-1.71-cp27-cp27m-manylinux1_i686.whl
3fdf4c9502404dd62905fd70bce57806cb775e636eede5de13f1abe8f0915158  biopython-1.71-cp27-cp27m-manylinux1_x86_64.whl
4960e0ec35de8b02cd0b6a720db623abf30931a5677046ec06c0097b6a565541  biopython-1.71-cp27-cp27mu-manylinux1_i686.whl
4e4c6fe00e1d49e016634602e8554380ec437b505d8f20132da408a37da560ce  biopython-1.71-cp27-cp27mu-manylinux1_x86_64.whl
65f00db00b2f91ba90e5bb61c7dd14d2beacb9f2d3e60c9d4330376b693d8975  biopython-1.71-cp27-cp27m-win32.whl
6318172b107ad72abf45a03de6a189a3e7cfc2e682d402520c14bbbe8295e335  biopython-1.71-cp27-cp27m-win_amd64.whl
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