「sitecatalyst」の検索結果

まとめの中から「sitecatalyst」の検索結果を表示しています。

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  • riken single cell symposium

    PCA analysis identifies a transition stage between day 3 and 4 that is much more sparse than starting and end points #RIKENSCSATAC-seq developed by used in this analysis by Bing Ren, to analyze regulatory sequences. Now: single frozen cells! #RIKENSCSAnalysis from mouse forebrain E11-P56 analyzed both bulk and at single nuclei level, high concordance. Can separate nicely by tSNE #RIKENSCSLosing stemness in the erythro differentiation associated with increased proliferation, as determined by s... 続きを読む
    578pv 2017年7月7日
  • 2011 Galaxy Community Conference #usegalaxy

    Scholtalbers chose Galaxy Sample Tracking System as basis for his work as it integrates with analytics tools #usegalaxy"Very few biologists understand that data analysis is much more expensive than data generation" #usegalaxy#usegalaxy public workflows allow reproducibility of bioinformatics sequence analysis - good for publication?RT : "Very few biologists understand that data analysis is much more expensive than data generation" #usegalaxyRT : "Very few biologists understand that data analy... 続きを読む
    2316pv 1 1 2011年5月25日
  • quick memo for genome assembly workshop

    The community do not appreciate new version of an even a better assembly because it messes up the coordinate system they used to. #gawDavid Schwartz (Wisconsin) is up now and about to discuss his optical mapping and nanocoding systems for genome assembly and analysis. #gawJoan Pontius: Physical markers for use in analysis genome assembly. #gawJoan Pontius: Physical markers for use in analysis genome assembly. #gawA PDF of my talk (with notes) is now up on the Assemblathon website #gawMS: Usin... 続きを読む
    2111pv 2 2011年3月16日
  • 11th Systems Biology & the Microbiome

    Last #isbsymp talk from Peer Bork: "Systemic analysis of human-associated microbes: lessons from a tRT : Last #isbsymp talk from Peer Bork: "Systemic analysis of human-associated microbes: lessons from a tBaliga: we can model biological systems because they only have a few stable states #ISBsympsingle-cell glocal and dynamical omics analysesMIT's Paul Blainey: contamination, DNA amplification introduces errors in single-cell genome analysis. New 'laser tweezer' helping #ISBsympMIT's Blainey u... 続きを読む
    2724pv 3 2012年4月16日
  • PyData Seattle 2015

    Some neat code by to demystify the analytics for change detection on real time data Good Stuff.. #PyDataData [science] is NOT objective. Each analyst has their own biases / prejudices. #pydataseattleHey #PyDataSeattle folks! Be sure to catch our own talking about Using Python for Linguistic Data Analysis in Room 2 at 3:20!Hey #PyDataSeattle folks! Be sure to catch our own talking about Using Python for Linguistic Data Analysis in Room 2 at 3:20!Hey #PyDataSeattle folks! Be sure to catch our o... 続きを読む
    1534pv 5 2015年7月26日
  • pagxx

    Hood: Systems biology facilitates the democratization of data analysis and generation #PAGXXAttending #PAGXX conference? Visit Data2Bio at Booth 131 for a chance to win a free #NGS bioinformatics analysis valued up to $1500Join #Integromics workshop on #NGS and RNA-seq data analysis using #SeqSolve. More info:Postlethwait: solution to genome duplication and Ohnolog loss problem: trees + synteny analyses #PAGXXMT #PAGXX Presenter Touts Web-Based Tool As Possible First Stop for Systems Genetics... 続きを読む
    2173pv 3 2012年1月18日
  • Embedded Linux Conference 2013 #lfelc

    #lfelc automate process processes. Coding standards check, static analysis, workflowRT : #lfelc automate process processes. Coding standards check, static analysis, workflowLTSI Project's "Use Case Program" just stared! Please visit our web site, and apply today! #linux #lfelc#lfelc coredumps analysis with objdump -x elf fileRT : #lfelc software is invisible. Create metrics of everything. Store the metrics. Automate analysis of the metrics.RT : #lfelc software is invisible. Create metrics of ... 続きを読む
    5114pv 13 2013年2月21日
  • ICWSM2012 Day 2

    Plenty of motivation for cross-network/media analysis in today's #icwsm talksparticularly thoughtful approach to qualitative data analysis in this ms! looking for emotional distress in posts to dead MS profiles #icwsmMaybe closely related to the current talk / A transfer-learning approach to real-time sentiment analysis #icwsmAnalysing sentiment across different social media streams: All streams favour positive sentiment - but a lot doesn't correlate #ICWSMTanushree Mitra: analysis of gossip ... 続きを読む
    2188pv 6 2012年6月6日
  • CSHL GENOME INFORMATICS 2011 day1

    Title sounds interesing - David Dooling talking about Genome Modeling System - a turnkey genomics analysis system #gi2011Systematic discrepancies between SNP calls from RNA-seq data and WGS data indicative of allele-specific expression #gi2011Dooling: goal is intelligently connecting data, metadata, and analysis tools, minimize user configuration, make it intuitive #gi2011`On that note, talk 2: Thomas Wu speaking on accurate mapping of RNA-seq data, analysis of alt splicing and gene fusion #g... 続きを読む
    1679pv 4 2011年11月4日
  • Hadoop World 2010 in NYC

    #hw2010 listening to talk on tools and applications for analysts with #hadoop. Need to learn about the innards of #hive. I'm talking next.Storage, serving and analysis in one system #hw2010 HBase as a counter database.RT : Storage, serving and analysis in one system #hw2010 HBase as a counter database.In a fascinating talk on doing statistical analysis in R across massive data atop #hadoop at #hw2010At Sentiment Analysis talk #hw2010Business Analyst Tools for Hadoop. #hw2010Facebook using hiv... 続きを読む
    7381pv 17 1 user 2010年10月13日
  • ICWSM2012

    and will be at ICWSM (RAMSS) to present an architecture for Social Media text analysis #icwsmWorkshop on sentiment analysis. Detecting sarcasm important, especially with political dicussions! #ICWSMWorkshop on sentiment analysis. Detecting sarcasm important, especially with political dicussions! #ICWSMThe slides from the RAMSS presentation of our architecture for text analysis are available at #icwsmRT : Workshop on sentiment analysis. Detecting sarcasm important, especially with political di... 続きを読む
    7108pv 3 2012年6月10日
  • Alteryx Inspire Conference 2018 at Anaheim 2018/06/04 - 2..

    Social data catalogs are critical for discovery and analyst enablement #alteryx18Career goal: #AccidentalDataAnalyst to #CitizenDataScientist. #Alteryx18#datascientists and #analysts.Passion, self-learning, and curiosity are the main ingredients! Empowerment is the catelyst. #Alteryx18CEO dean kicking off industry analyst program at #Alteryx18 Recapping a year of success following IPOCitizen data scientist! A new growth and future of business analysts! #Alteryx18Great session on how analysts ... 続きを読む
    2008pv 2 2018年6月8日
  • AGBT tweets 2012 (3)

    Levy: variant analysis helps find needle in a haystack #AGBTLast talk: Steve Benner on "Reagent innovations for sensitive, clean, and highly multiplexed analysis of DNA" #AGBTSpeaking of cloud-based genomic analysis...check out HiSeq2500 data on BaseSpace #AGBTSteven Bennet from the Foundation for Applied Molecular Evolution giving last talk of #AGBT - reagent innovations for DNA analysisPatrick Schnable from Iowa State University up next to talk about gene loss during domestication bottlenec... 続きを読む
    1491pv 2 2012年2月19日
  • Summary of ICST 2017 event's tweets #ICST2017 #ICST

    #ICST2017 My talk "The Theory of Composite Faults" soon at Room 201 #mutationtesting #mutationanalysis #couplingeffect #faultmaskingRequirement analysis and code analysis are where the ESA spend most of their time, “perfect” design less important #ICST2017#icst2017 Keynote: Google knows about mutation testing but it is still not widely adopted #mutationanalysis#icst2017 Behavioral Execution Comparison used #mutationanalysis as a way to characterize executions#icst2017 Assessing and Improv... 続きを読む
    1400pv 1 user 2017年3月16日
  • HMP2010-08-31

    Owen White: A Data Analysis Coordination Center for the Human Microbiome Project #HMP2010Next up Owen White on the HMP Data Analysis and Coordination Center that he runs #HMP2010Owen White from U Maryland Data Analysis and Coordination Center (DACC) for HMP #HMP2010Makedonka Mitreva: Shotgun Metagenomic Sequencing and Analysis at the Washington University Genome Center #HMP2010White: DACC putting together virtual machines to run all sorts of microbiome/metagenomic analyses - can run locally o... 続きを読む
    1032pv 2010年9月1日
  • PyData London 2016

    Analysts only have 7min on avg to investigate security alerts: Eszter Windhager-Pokol from #PyDataLondonCurrently learning about survival analysis from Excited to be back at #PyDataLondon!on applying survival analysis to academia #PyDataLondonat #pydatalondon on survival analysisdata guys on stage at #PyDataLondon "Baynesianism and Survival Analysis"Exited about #PyDataLondon 6-8 May. Python users & dev's of data analysis tools share ideas & learn from each other.Julia for Data Analysis: feat... 続きを読む
    1525pv 8 2016年5月8日
  • International Conference of Crisis Mappers

    from today's Ignite Talk at #iccmnyc conflict analysis data feel free to DM with questions.Ignite: Matthew Scott Conflict Analysis #iccmnyctalking about conflict analysis and peace action through distributed data hacking #iccmnycAnalysis and outputs from the Open Data Collaboration #iccmnyc Also,At ? Come by the Tech & Analysis Fair and chat with us! Great conversations so far #iccmnycasking the hard questions "are we effective?" Addressing bias in our analysis of data #iccmnyc“Can we use b... 続きを読む
    8520pv 4 1 2014年11月8日
  • [not completed] CSEL meeting biodata14 tweets personal col..

    DH: better not be overzealous with mapping for downstream analysis. #biodata14Michael Lovci up to talk aboutt single cell RNA-Seq analysis- using #ipythonnotebook for his presentation! #biodata14#biodata14 “Data are interesting, but do not answer any of the thousands of possible questions” - hence analysis!And @ #biodata14: PIPE-CLIP: A comprehensive online tool for CLIP-seq data analysis, poster 22 Beibei Chen #usegalaxyMatt Massie on "Building fast, petabyte-scale biological data system... 続きを読む
    702pv 2014年11月7日
  • dna barcode of life

    Standing (and sitting) room only in the Data Analysis session #bol4#bol4 - Natasha de Vere doing interesting stuff on finer scale statial analyses of molecular diversityData Analysis Session "upgraded" to Napier G04 because the old room couldn't contain us #bol4Decaens Soil community analysis done in a few months w/ barcodes, all growth stages! High diversity and new spp found #bol4About to start the Data Analysis Working Methods session in Innova B19. Come check it out! #bol4次はTaxon dive... 続きを読む
    4065pv 9 2 2011年12月4日
  • SOUPS2015 1日目

    Distinguished Paper Award at #soups2015: Sundaramurthy et al., a Human Capital Model for mitigating security analyst burnout.A way of getting at the WHY in #security research using qual. analysis of #tweets #soups2015Data viz for understanding data sharing w sites from #soups2015Kids who don't consent to collection of #data are told "get off my site" #privacy - VSteeves mediasmarts #soups2015 #edtech Protect AmericaSteeves: Kids hate that corporations analyse their social media content #so... 続きを読む
    2561pv 17 10 2015年7月24日
  • posts aggrigation for "The biology of genomes" (1)

    This is the first talk I've seen which goes into quite a bit of detail about an analysis pipeline. #bg2011factor + the genes it regulates (DHS data) to note that network is highly hit by the GWAS analysis #BG2011Final talk of the session, Augusto Rendon is talking about a large GWAS meta-analysis of platelet formation #BG2011Finally, an analysis of long talks—a constant annoyance in science! : RT :…#bg2011Glad I stayed for Pavel Tomancak's wonderful late-nite #bg2011 talk on gene expressi... 続きを読む
    2547pv 2 3 2011年5月14日
  • ASHG 2010 No.1

    Carlos Bustamante- strong bias in GWAS annotation complicates analysis #ASHG2010RT : Carlos Bustamante- strong bias in GWAS annotation complicates analysis #ASHG2010RT RT : Carlos Bustamante- strong bias in GWAS annotation complicates analysis #ASHG2010 what bias? How so?My #ASHG2010 presentation: poster 1135 on Fri: Network analysis defines impact of gene-exercise interactions #obesityKG: Test PGx (KRAS), predisposition (Lynch syndrome) + digital medical records for 500k colorectal cancer pa... 続きを読む
    2213pv 2 1 2010年11月4日
  • NGS12

    Dinner course hosted by on NGS: Technologies, Applications, and Analysis Strategies - I'll be there! #NGS12MB: Can find transcription-start-site based on chromatin architecture (multiple ChIP-seq dataset), not RNA, very accurately! #NGS12sponsors #NGS12, enables tech for genome sequencing/analysis. Let's talk: ideas, experiences & future collaborations!GW: 40-50% of staff now informatics (project analysts as well as IT). Staff running lab machines gone down. #NGS12SR- showing now Alpha-Hemoly... 続きを読む
    1415pv 3 2012年8月15日
  • DH2014

    #dh2014 presenting now on using Systemic Linguistic Analysis to detect and analyse hate speechAntonacopoulos: need to understand stakeholders & roles-- dh researcher as catalyst btwn content hldr & tech #dh2014#dh2014 #TextAnalysisTools 3 forgotten text analysis techs: Data Input, Output, Interaction.: limits of inherited classification system led to a consideration of automatic discourse analysis w/ modern tools #dh2014At a talk about "text network analysis" : same as or part of "literary ne... 続きを読む
    3549pv 6 2014年7月11日
  • ICWSM2012 Day 1

    Tomkin's #icwsm keynote show G+'s comprehensive metadata - great for #socialmedia analysisAnalysis of disease spread using geolocated tweets can predict if you'll get sick. #icwsmfascinating work on detecting fake reviews. text analysis no good. I think take home 4 star emphasis more likely to be genuine than 5 #ICWSM"women on average generate 40% more pageviews than men" - analysis of Nielson data #icwsmPost-grads visit health sites 3 times as much as high school graduates. More educated cor... 続きを読む
    2165pv 4 2012年6月6日
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