PCBC Bioinformatics Core & Committee PCBC Steering Committee Call Nathan Salomonis Cincinnati Children’s Larsson Omberg, Sage Bionetworks Nathan Salomonis.

Slides:



Advertisements
Similar presentations
OMV Ontology Metadata Vocabulary April 10, 2008 Peter Haase.
Advertisements

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.
A distributed architecture for crystallography data, metadata, and applications John C. Bollinger Indiana University Molecular Structure Center, Bloomington,
Oncomine Database Lauren Smalls-Mantey Georgia Institute of Technology June 19, 2006 Note: This presentation contains animation.
Prof. Carolina Ruiz Computer Science Department Bioinformatics and Computational Biology Program WPI WELCOME TO BCB4003/CS4803 BCB503/CS583 BIOLOGICAL.
The Rice Functional Genomics Program of China cDNA microarray database (RIFGP-CDMD) consists of complete datasets, including the probe sequences, microarray.
Abstract BarleyBase ( is a USDA-funded public repository for plant microarray data. BarleyBase houses raw and normalized expression.
5 EBI is an Outstation of the European Molecular Biology Laboratory. Master title Molecular Interactions – the IntAct Database Sandra Orchard EMBL-EBI.
The design, construction and use of software tools to generate, store, annotate, access and analyse data and information relating to Molecular Biology.
How we assist knowledge collection Serving the monks Chris Evelo Dept of Bioinformatics – BiGCaT Maastricht University.
Systems Biology Existing and future genome sequencing projects and the follow-on structural and functional analysis of complete genomes will produce an.
ENCODE Data Coordination at UCSC Kate Rosenbloom ENCODE DCC Technical Project Manager UCSC Genome Bioinformatics Group September 2010 Genome Browser SAB.
Kate Milova MolGen retreat March 24, Microarray experiments: Database and Analysis Tools. Kate Milova cDNA Microarray Facility March 24, 2005.
August 29, 2002InforMax Confidential1 Vector PathBlazer Product Overview.
Kate Milova MolGen retreat March 24, Microarray experiments. Database and Analysis Tools. Kate Milova cDNA Microarray Facility March 24, 2005.
Many genes have unknown function 30% have unknown function only 9% are experimentally verified The Arabidopsis Genome Initiative, Nature 2000 of the 25,498.
HARVARD UNIVERSITY iCOMMONS March 28, Integrated Academic Infrastructure The first six months LiMIT Meeting March 28, 2007 Susan A. Rogers.
Developing an approach for Learning Design Players Patrick McAndrew, Rob Nadolski & Alex Little Open University UK and Open University NL Paper available.
Using the Drupal Content Management Software (CMS) as a framework for OMICS/Imaging-based collaboration.
Genome database & information system for Daphnia Don Gilbert, October 2002 Talk doc at
Introductory Overview
RDA Wheat Data Interoperability Working Group Outcomes RDA Outputs P5 9 th March 2015, San Diego.
RDA Wheat Data Interoperability Working Group Outcomes RDA Outputs P5 9 th March 2015, San Diego.
>>> Korean BioInformation Center >>> KRIBB Korea Research institute of Bioscience and Biotechnology GS2PATH: Linking Gene Ontology and Pathways Jin Ok.
Gene expression services: ArrayExpress and the Gene Expression Atlas Contact: Gabriella Rustici, PhD Functional Genomics Team EBI-EMBL
QCDgrid Technology James Perry, George Beckett, Lorna Smith EPCC, The University Of Edinburgh.
SCIENCE-DRIVEN INFORMATICS FOR PCORI PPRN Kristen Anton UNC Chapel Hill/ White River Computing Dan Crichton White River Computing February 3, 2014.
ILC EDMS project suite Status Maura Barone GDE/Fermilab ILC Valencia - November 7, 2006.
Data Curation and Management activities within the UCT Computational Biology Group Dr Nicky Mulder.
Department of Biomedical Informatics Service Oriented Bioscience Cluster at OSC Umit V. Catalyurek Associate Professor Dept. of Biomedical Informatics.
Updates from EOSDIS -- as they relate to LANCE Kevin Murphy LANCE UWG, 23rd September
Rahul Raman, Ram Sasisekharan Bioinformatics Core Massachusetts Institute of Technology Glue Grants Bioinformatics Meeting April 22-23, 2004 San Diego,
Ontology-Based Annotation of Biomedical Time Series Data Rai Winslow, Steve Granite The Institute for Computational Medicine Johns Hopkins University.
Ensemble Computing in the National Science Digital Library (NSDL)
Abstract BarleyBase is a USDA-funded public repository for plant microarray data. BarleyBase houses raw and normalized expression data from the 22K Affymetrix.
Sage Bionetworks A non-profit organization with a vision to enable networked team approaches to building better models of disease BIOMEDICINE INFORMATION.
Intralab Workshop - Reactome CMAP Chang-Feng Quo June 29 th, 2006.
Copyright OpenHelix. No use or reproduction without express written consent1.
Taverna Workflow. A suite of tools for bioinformatics Fully featured, extensible and scalable scientific workflow management system – Workbench, server,
Data Management BIRN supports data intensive activities including: – Imaging, Microscopy, Genomics, Time Series, Analytics and more… BIRN utilities scale:
Data Management Practices for Early Career Scientists: Closing Robert Cook Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN.
Web Apollo and the VectorBase user community Gloria I. Giraldo-Calderón March 31, 2015.
EADGENE and SABRE Post-Analyses Workshop 12-14th November 2008, Lelystad, Netherlands 1 François Moreews SIGENAE, INRA, Rennes Cytoscape.
Introduction to caArray caBIG ® Molecular Analysis Tools Knowledge Center April 3, 2011.
NIH Common Fund Library of Integrated Network- based Cellular Signatures LINCS Applicant Information Webinar for RFA-RM September 6, :00 –
What is an Ontology? An ontology is a specification of a conceptualization that is designed for reuse across multiple applications and implementations.
Professional Development Course 1 – Molecular Medicine Genome Biology June 12, 2012 Ansuman Chattopadhyay, PhD Head, Molecular Biology Information Services.
Ontologies GO Workshop 3-6 August Ontologies  What are ontologies?  Why use ontologies?  Open Biological Ontologies (OBO), National Center for.
The New Website of the Gene Ontology Consortium Seth Carbon Chris Mungall, PhD Monica Munoz-Torres, PhD Genomics Division,
Valentina Di Francesco Senior Program Officer for Bioinformatics, Structural Genomics and Systems Biology Microbial Genomics.
Analysis of GEO datasets using GEO2R Parthav Jailwala CCR Collaborative Bioinformatics Resource CCR/NCI/NIH.
1 Cancer Models Database (caMOD). 2 History  January 2000 – Prototype is presented during the Mouse Models of Human Cancers (MMHCC) Steering Committee.
GeWorkbench John Watkinson Columbia University. geWorkbench The bioinformatics platform of the National Center for the Multi-scale Analysis of Genomic.
Primary vs. Secondary Databases Primary databases are repositories of “raw” data. These are also referred to as archival databases. -This is one of the.
Hellenic Centre for Marine Research (HCMR) MedOBIS - Ocean Biogeographic Information System for the Eastern Mediterranean and Black Sea.
Visualizing consequences of genetic variation in biological networks Ling Fung Tang 1,5, Michael L Heuer *2, Nathan Salomonis 3, Alexander Pico 4, Pui.
1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:
Copyright OpenHelix. No use or reproduction without express written consent1.
ExRNA Data Analysis Tools in the Genboree Workbench Organized and Hosted by the Data Management and Resource Repository (DMRR) Sai Lakshmi Subramanian.
Data Management Practices for Early Career Scientists: Closing Robert Cook Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN.
CCRC Cancer Conference November 8, 2015.
Data Coordinating Center University of Washington Department of Biostatistics Elizabeth Brown, ScD Siiri Bennett, MD.
Ingenuity Pathway Analysis Alex Pico. Description "IPA is a software application that enables researchers to analyze and understand the complex biological.
Hub Updates for Year 3 Carl Kesselman.
Department of Genetics • Stanford University School of Medicine
Computer Literacy BASICS: A Comprehensive Guide to IC3, 3rd Edition
Functional Annotation of the Horse Genome
TOPMed Analysis Workshop Genetic Analysis Center Biostatistics Department University of Washington TOPMed Data Coordinating Center August 7-9, 2017 Introduction.
MSDI training courses feedback MSDIWG10 March 2019 Busan
FaceBase Hub Years 1 through 5
Presentation transcript:

PCBC Bioinformatics Core & Committee PCBC Steering Committee Call Nathan Salomonis Cincinnati Children’s Larsson Omberg, Sage Bionetworks Nathan Salomonis Division of Biomedical Informatics, CCHMC

Bionformatics Working Group Bruce Aronow Nathan Salomonis Phillip Dexheimer Carolyn Lutzko Alex Pico Larsson Omberg Kenny Daily Antonis Hatzopoulos Winston Hide Shanan Sui Joseph Huo Elias Zambidis Michael Kyba Jennifer Larkin Lynn Schriml Michael Terrin Ling Tang * * * * * * * * * * * * * C4 SAGE BIONETWORKS VANDERBILT U. HARVARD U. JOHNS HOPKINS U. USCF STANFORD U. U. MINNESOTA NHLBI ADMINISTRATIVE CORE U. MARYLAND

PCBC Bioinformatics Committee & Core Create structured annotations for iPSC generation and derived products (metadata). Provide new tools and resources for access to analysis of C4 data. Provide education to the PCBC and beyond. Spearhead informatics efforts in the consortium.

Prior Progress on Primary Aims Developed Metadata standards for cell lines Developed an advanced online portal in Synapse for direct access to: –PCBC omics datasets –Integrated analysis results –Metadata –Protocols (experimental, software) –Other datasets Created specialized tools for PCBC data access: –ToppGene progenitor signatures (pathway analysis) –Cytoscape tool for Synapse data visualization –AltAnalyze for integrated omics analyses and progenitor cell-type prediction Collaboratively wrote papers for description of these resources and datasets.

Major Updates PCBC Omics Portal is Live (Stealth Release). Resubmitting manuscript 1 following Cell Stem Cell encouraging reviews. Multitude of new interfaces, automated worfklows, result sets in Synapse. Significant progress on differentiation manuscript analyses. New software to help experimentalists analyze their own omics data. Recent and future bioinformatics workshops.

Synapse: Online repository for PCBC data access, annotations, sharing and analysis Online repository for PCBC data access, annotations, sharing and analysis.

Key Features of Synapse Download PCBC Omics data from the web or programmatically (R/Python/Java). Easily post new datasets, images or presentation. “Time Machine” of Data Files and Analyses. Access Control – Private Work Areas. DOI Annotation for Direct Data Access from Publications. Wiki Content – Editing Help Desk

Target Audiences of PCBC Database in Synapse Investigators Explore Genes/Pathways Explore Processing Pipelines Genes/Pathways Search Engines Review Results of Previous Analyses Communicate Early Results Share Results Target Audiences of PCBC Database in Synapse

Target Audience Bioinformaticians Process Own Data Using Defined pipelines Download & Query Raw data Access directly from R/Python/JAVA Download Analysis Results Share analysis Target Audience

Navigate PCBC Data: Download, Query, perform Pathway Analysis

Target Audience Follow Data Pipelines with Own Experimental Results Private Work Areas

Target Audience Collaborate with Other Groups Collaborative Private Work Areas

Usage Over 300 users outside of the bioinformatics core. –111 registered PCBC users accessing the site. –200 folks outside of the PCBC

Usage

Brand New Features in Synapse PCBC Portal is open-access to anyone with a free Synapse account ( March 2015 – stealth release prior publication ). New and Improved heatmap viewer with integrated RNA- Seq, DNA-methylation and microRNA. Simple interactive metadata navigator for cell lines (to be updated with Wicell). Amazon hosted virtual computing environment with tools for sequence analysis of any data. Expanded bioinformatics best practices and protocol comparison (tutorial videos, algorithm comparisons, etc.). Improved attribution pages. New analysis methods and results associated with bioinformatics core papers being (re)submitted

PCBC Metadata Developed According to Global Vocabularies of Terms Creating Metadata Standards for Sharing Exchanging and Analyzing PCBC Data How is the PCBC Metadata Standard Organized ? - categories of metadata - describing cell line, host and classification methods -including investigator, cell of origin, method of reprogramming, -reprogramming gene combinations, donor gender, age, ethnicity and disease status Metadata Collection Standards - developed for the PCBC consortium - defined through an iterative process - relevant terms mapped to established community ontologies - metadata collected for each cell line submitted to C4

Metadata Associated Data mRNA-Seq –301 samples microRNA-Seq –252 samples DNA-methylation –131 samples

PCBC Metadata Developed According to Global Vocabularies of Terms Ontologies: Disease Ontology, NCBI Taxonomy vocabulary, Cell Ontology, Cell Line Ontology, HsapDv (human developmental stage ontology), NCI Thesaurus (race, ethnicity), PATO (gender), Human Phenotype Ontology Tools: PCBC Metadata Developed According to Global Vocabularies of Terms

PCBC Metadata Developed According to Global Vocabularies of Terms PCBC Metadata Annotations as Exchange Format (ISA-Tab) Allow Global Data Sharing/Reuse Document Provenance/History of Data Investigation-Study-Assay (isatab)

New Software for PCBC Researchers We are in the final stages of releasing tools to allow bioinformatics novice researchers to analyze their own bulk and single-cell RNA-Seq datasets (AltAnalyze version 2.10). New tools for cell-type prediction automated within this tool-kit. Used by over a dozen PCBC researchers at the Stanford Bioinformatics training course.

Manuscripts 1.Re-Submission of the first C4 Manuscript (Cell Reports): –Integrated Genomic Analysis of Diverse Induced Pluripotent Stem Cell Lines Identifies Novel Molecular Determinants of Pluripotency 2.Data Descriptor manuscript (Following manuscript 1 acceptance): –Comprehensive Characterization of Diverse Pluripotent Stem Cells from the Progenitor Cell Biology Consortium 3.Expected Submission in September –Multi-Lineage Characterization of Diverse Induced Pluripotent Stem Cells and their Derivatives (collaborative multicenter effort lead by Sage)