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scikit-bio

@scikitbio

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202
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51

Joined April 2015
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@zhuqiyun
Qiyun Zhu
10 days
The scikit-bio paper in online in Nature Methods! Many thanks to our collaborators, community contributors and reviewers! We couldn’t have done it without you. https://t.co/bvbMdwMtUY #Bioinformatics #OpenSource
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nature.com
Nature Methods - Scikit-bio: a fundamental Python library for biological omic data analysis
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@scikitbio
scikit-bio
11 months
scikit-bio 0.6.3 is out! Featuring a massively upgraded tree and phylogenetics module, with scalable algorithms for tree building, refinement, comparison and manipulation, plus improved file I/O and random seed. https://t.co/13echI3YOH #Bioinformatics #OpenScience #Microbiome
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github.com
We are excited to announce scikit-bio 0.6.3! This is a massive upgrade, despite minor version change. Release highlights include: Significantly improved the tree and phylogenetics module (skbio.tr...
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@scikitbio
scikit-bio
1 year
scikit-bio now offers an expanded and well-documented array of alpha diversity metrics, including new generalized and phylogenetic ones like abundance-weighted PD, Hill numbers, and Renyi entropy. https://t.co/H7tHLEzOXK #bioinformatics #microbiome #ecology
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@scikitbio
scikit-bio
1 year
scikit-bio 0.6.2 is out! Windows support (now official), more efficient and capable phylogenetic tree, advanced alpha diversity calculation, and more! Ready for #ISMB 2024. #Bioinformatics #OpenScience
github.com
We are excited to announce scikit-bio 0.6.2! Release highlights: scikit-bio now has full support for Microsoft Windows. Significantly improved the efficiency and functionality of TreeNode for stor...
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@scikitbio
scikit-bio
1 year
scikit-bio now fully supports Windows! Many appreciations to the team's heroic efforts. This is finally in. https://t.co/GMOp4QB7Af Stay tuned for the upcoming 0.6.2 release which ships this!
github.com
This PR will update the CI and other necessary elements to enable the use of skbio on Windows machines. Please complete the following checklist: I have read the contribution guidelines. I hav...
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@scikitbio
scikit-bio
2 years
We are excited to announce scikit-bio 0.6.1! NumPy 2 support, sequence embedding structure for working with language models, efficient alignment path structure, much faster count subsampling algorithm, expanded community diversity metrics, and more! #Bioinformatics #OpenScience
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@scikitbio
scikit-bio
2 years
scikit-bio 0.6.0 is released! https://t.co/UMGYYgCh2K New website, new data table module, sample metadata object, diversity metrics and differential abundance test, Python 3.12 support, and much more. #Bioinformatics #OpenScience
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@scikitbio
scikit-bio
2 years
scikit-bio is back in action! https://t.co/UMGYYgCOSi Thanks to funding from DOE and a reassembled team. Get ready for: Streamlined analysis of massive omic data, Advanced multi-omic integration, Enhanced biological feature annotation. Join us to advance reproducible #openscience
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@scikitbio
scikit-bio
4 years
We’re excited to announce scikit-bio 0.5.7 has been released, which includes performance improvements and tentative Apple M1 support! Please see https://t.co/6Sa2fGL59a for specific changes
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@scikitbio
scikit-bio
9 years
scikit-bio 0.5.1 is live: support for interval metadata!
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@jnhook
Dr. Julie Hook
9 years
With greater accessibility of #machinelearning, we can experiment with more uses in #marketing. @scikitbio
hbr.org
You don’t need a PhD, and that’s a big deal.
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@qiime2
QIIME 2
10 years
it's official: QIIME 2 is @NSF funded!
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