Posts Tagged ‘#biodata14’

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My notes from a meeting whirlwind in early Nov. – CSHL Biological Data Science, PCAWG & exRNA (i0biods14,i0pcawg14)

Tuesday, November 11th, 2014

i0biods14 => #biodata14
i0pcawg14 => i0pcawg14+exrna

https://storify.com/markgerstein/favorite-tweets-from-biological-data-science-i0bio

http://linkstream2.gerstein.info/tag/i0pcawg14
http://linkstream2.gerstein.info/tag/i0biods14

http://lectures.gersteinlab.org/summary/nc-annotation-sect-from–PAWG-2-5-9-14_prep_for_Boston_mtg

http://lectures.gersteinlab.org/summary/Framework-to-prioritize-Regulatory-variants-Progressive-summarization-of-large-scale-data–20141108-i0biods14/

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The DNA Data Deluge – IEEE Spectrum

Monday, November 10th, 2014

The DNA Data Deluge
http://spectrum.ieee.org/biomedical/devices/the-dna-data-deluge

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Predicting Social Security numbers from public data

Monday, November 10th, 2014

Predicting Social Security numbers from public data
http://www.pnas.org/content/106/27/10975.abstract

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Global Alliance for Genomics and Health · GitHub

Monday, November 10th, 2014

Global Alliance for Genomics and Health Github
https://github.com/ga4gh

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Genome Biology | Full text | Cloud-scale RNA-sequencing differential expression analysis with Myrna

Monday, November 10th, 2014

http://genomebiology.com/2010/11/8/r83

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Algorithms for Molecular Biology | Full text | Data compression for sequencing data

Monday, November 10th, 2014

Data compression for sequencing data
http://www.almob.org/content/8/1/25

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Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

Monday, November 10th, 2014

http://scrapy.org/

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rabix/common-workflow-language · GitHub

Monday, November 10th, 2014

https://github.com/rabix/common-workflow-language

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Elasticsearch.org Open Source Distributed Real Time Search & Analytics | Elasticsearch

Monday, November 10th, 2014

Elasticsearch.org Open Source Distributed Real Time Search & Analytics http://www.elasticsearch.org

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An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes

Monday, November 10th, 2014

An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes http://www.computer.org/csdl/proceedings/icdmw/2013/3142/00/3143a056-abs.html

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