NCI's Containers and Workflows Interest Group Webinar Series

Fri, 07 May 2021 12:42:58 -0700 

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ORGANIZER;CN="Addepalli, Kanakadurga (NIH/NCI) [E]":mailto:kanakadurga.addepa
 [email protected]
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=List NCI-C
 ONTAINERS-WORKFLOWS-WG:mailto:[email protected]
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=List BIOIN
 FORMATICS-SIG-L:mailto:[email protected]
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=List BIOIN
 FO-GENERAL-NCI:mailto:[email protected]
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=List BIOIN
 FORMATICS:mailto:[email protected]
DESCRIPTION;LANGUAGE=en-US:Please join us for a\n                       NCI
  Containers and Workflows Interest Group Seminar\n\nThe Cancer Genomics Cl
 oud powered by Seven Bridges: a secure and scalable\ncloud-based platform 
 to access\, share and analyze multi-omics datasets\n\nBy\nSai Lakshmi Subr
 amanian\nProgram Manager\, Cancer Genomics Cloud\nSeven Bridges\n\n\nFrida
 y\, May 14th\, 2021\n3:00 PM – 4:00 PM EDT\n\nAbstract\nThe Cancer Genom
 ics Cloud powered by Seven Bridges (CGC) is a NCI-funded cloud resource th
 at provides a unified platform for cancer data analysis by co-localizing t
 hree components within the cloud: 1) large cancer datasets including TCGA\
 , CPTAC and several others from CRDC data nodes\; 2) >500 bioinformatics t
 ools and best-practice workflows for analyzing multi-omics data\; and 3) t
 he computational capabilities to do large-scale analyses. The user-friendl
 y portal of CGC allows the researchers to browse\, query and filter datase
 ts of interest and also bring their own data for collaborative analysis in
  the context of other publicly available data. In addition to the simplici
 ty of data access and management\, the CGC provides the flexibility to bri
 ng private tools\, and the ability to complete reproducible and interactiv
 e analyses\, all with the speed of cloud computing resources without needi
 ng any cloud provider accounts or managed billing. Using the power of Conn
 ected Cloud Storage\, datasets residing in Amazon or Google Cloud can be e
 asily attached as volumes. Interactive analysis of data can be performed u
 sing RStudio\, along with Jupyter notebooks and is tailored to maximize us
 er experience (including billing controls\, flexibility\, etc). With a kee
 n focus on interoperability\, the CGC has implemented services to support 
 the technical standards recommended by the Global Alliance for Genomics an
 d Health (GA4GH). Altogether\, these added features enable a network of fi
 ndable\, accessible\, interoperable and reusable (FAIR) datasets\, workflo
 ws\, and services towards making cancer data analysis faster\, and more ea
 sily available for all. In this webinar\, we will demonstrate the features
  available in the CGC for optimizing analysis costs on the cloud and also 
 showcase new workflows for proteomics analysis.\n\nAbstracts\, Slides and 
 Recordings from past CWIG meetings can be found here: https://ncihub.org/g
 roups/cwig\nFor questions and subscription\, please contact\, Durga Addepa
 lli<mailto:[email protected]> or Digant Shah<http://digant.sha
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RECURRENCE-ID;TZID=Eastern Standard Time:20210514T150000
SUMMARY;LANGUAGE=en-US:NCI's Containers and Workflows Interest Group Webina
 r Series
DTSTART;TZID=Eastern Standard Time:20210514T150000
DTEND;TZID=Eastern Standard Time:20210514T160000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20210507T193233Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:11
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