Funded Projects

Error message

  • Deprecated function: Optional parameter $checkbox declared before required parameter $input is implicitly treated as a required parameter in include_once() (line 1442 of /local/drupal/itcr/includes/bootstrap.inc).
  • Warning: Trying to access array offset on value of type null in zurb_foundation_pager() (line 726 of /local/drupal/itcr/sites/default/themes/zurb_foundation/template.php).
  • Warning: Trying to access array offset on value of type null in zurb_foundation_pager() (line 766 of /local/drupal/itcr/sites/default/themes/zurb_foundation/template.php).
  • Deprecated function: Optional parameter $key declared before required parameter $is_multi is implicitly treated as a required parameter in require_once() (line 342 of /local/drupal/itcr/includes/module.inc).
  • Deprecated function: Optional parameter $route declared before required parameter $is_multi is implicitly treated as a required parameter in require_once() (line 342 of /local/drupal/itcr/includes/module.inc).
  • Deprecated function: Return type of crumbs_PluginSystem_PluginMethodIterator::current() should either be compatible with Iterator::current(): mixed, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 4 of /local/drupal/itcr/sites/all/modules/crumbs/lib/PluginSystem/PluginMethodIterator.php).
  • Deprecated function: Return type of crumbs_PluginSystem_PluginMethodIterator::next() should either be compatible with Iterator::next(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 4 of /local/drupal/itcr/sites/all/modules/crumbs/lib/PluginSystem/PluginMethodIterator.php).
  • Deprecated function: Return type of crumbs_PluginSystem_PluginMethodIterator::key() should either be compatible with Iterator::key(): mixed, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 4 of /local/drupal/itcr/sites/all/modules/crumbs/lib/PluginSystem/PluginMethodIterator.php).
  • Deprecated function: Return type of crumbs_PluginSystem_PluginMethodIterator::valid() should either be compatible with Iterator::valid(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 4 of /local/drupal/itcr/sites/all/modules/crumbs/lib/PluginSystem/PluginMethodIterator.php).
  • Deprecated function: Return type of crumbs_PluginSystem_PluginMethodIterator::rewind() should either be compatible with Iterator::rewind(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in require_once() (line 4 of /local/drupal/itcr/sites/all/modules/crumbs/lib/PluginSystem/PluginMethodIterator.php).
×
Displaying 1 - 171 of 171
Award Type Award Year PI Name(s) Institution(s) Project Status
U01 2023
  • Qi Long
  • Xiaoqian Jiang
  • University of Pennsylvania
Robust privacy preserving distributed analysis platform for cancer research: addressing data bias and disparities Active
U24 2023
  • Gordon J. Harris
  • Massachusetts General Hospital
Extensible Open Source Zero-Footprint Web Viewer for Cancer Imaging Research Active
R21 2023
  • Noemi Andor
  • H. Lee Moffitt Cancer Center and Research Institute
Engineering model-based systems to monitor and steer subclonal dynamics Active
R21 2023
  • Daniel Segre
  • Ilija Dukovski
  • Sergeevich Kirill Korolev
  • Boston University - Charles River Campus
Spatio-temporal mechanistic modeling of whole-cell tumor metabolism Active
U24 2023
  • Guilherme Del Fiol
  • Kensaku Kawamoto
  • University of Utah
GARDE: Scalable Clinical Decision Support for Individualized Cancer Risk Management Active
R21 2023
  • Alejandro Bertolet
  • Massachusetts General Hospital
GPU-based SPECT Reconstruction Using Reverse Monte Carlo Simulations Active
U24 2023
  • David Hanauer
  • University of Michigan
Extending the Capabilities and Reach of EMERSE in Support of Cancer Research Active
U24 2023
  • Spyridon Bakas
  • Indiana University
Privacy-Aware Federated Learning for Breast Cancer Risk Assessment Active
R21 2023
  • Matthew Thompson
  • California Institute of Technology
Defining therapeutic strategies for boosting T-cell infiltration into cold tumors with spatial proteomics and machine learning Active
U01 2023
  • Kristen Naegle
  • University of Virginia
Inferring Kinase Activity from Tumor Phosphoproteomic Data Active
R21 2023
  • Fuyong Xing
  • Bennett Chin
  • University of Colorado Denver
  • Duke University
Geles: A Novel Imaging Informatics System for Generalizable Lesion Identification in Neuroendocrine Tumors Active
U01 2023
  • Tin Nguyen
  • Hung Luu
  • Auburn University
  • University of Pittsburgh
Personalization of graphical models using multi-omics data for subtype discovery and prognosis Active
U01 2023
  • Hanspeter Pfister
  • Sandro Santagata
  • Harvard Medical School
Visual Analytics for Exploration and Hypothesis Generation Using Highly MultiplexedSpatial Data of Tissues and Tumors Active
R21 2023
  • Drew Jones
  • New York University School of Medicine
Deep Learning of Mass Spectrometry Imaging Active
U24 2023
  • Dexter Pratt
  • University of California, San Diego
The Network Data Exchange - a Network Commons for Biologists Active
R21 2023
  • Matthew Schipper
  • Daniel Spratt
  • University of Michigan
  • Case Western Reserve University
Individualized estimates of treatment benefit from hormone therapy for men with prostate cancer Active
U01 2023
  • Yufei Huang
  • University of Pittsburgh at Pittsburgh
m6A-suite: an informatics pipeline and resource for elucidating roles of m6A epitranscriptome in cancer Active
U01 2023
  • Valsamo Anagnostou
  • Taxiarchis Botsis
  • Johns Hopkins University
Matching genotypes with personalized therapies: Development of a decision support infrastructure to augment the value of precision medicine Active
U01 2022
  • Patrick David Schloss
  • Marcy J. Balunas
  • University of Michigan at Ann Arbor
muMS2: an open source R package for analyzing and integrating multi-omics datasets to improve early detection and understanding of colorectal cancer Active
U24 2022
  • Han Liang
  • Rehan Akbani
  • Gordon B. Mills
  • University of Texas MD Anderson Cancer Center
The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data Active
R21 2022
  • Meghan Eileen McGrady
  • Cincinnati Children's Hospital Medical Center
A Novel Algorithm to Compute Adherence from Electronic Adherence Monitoring Devices Active
R21 2022
  • Mara Meyer Epstein
  • Feifan Liu
  • University of Massachusetts Medical School- Worcester
Identifying Recurrent Non-Hodgkin Lymphoma in Electronic Health Data Active
R21 2022
  • Travis J. Osterman
  • Christine M. Micheel
  • Vanderbilt University Medical Center
Oncology Knowledge Rapid Alerts: Integrating Biomarker-Driven Clinical Decision Support for Therapy Selection at Point-of-Care Active
R21 2022
  • Andrey Ivanov
  • Emory University
Predicting Actionable Cancer Vulnerabilities Enabled by Mutant-Directed Protein-Protein Interactions Active
R21 2022
  • Margarida Barroso
  • Uwe Kruger
  • Albany Medical College
Artificial Intelligence Enhanced Cancer Cell Classification Based Organelle Morphology and Topology Active
U01 2022
  • Malgorzata Marjanska
  • University of Minnesota
Developing Informatics Tools for Optimized MRS for Brain Cancer Research Active
U01 2022
  • Pablo Gonzalez Camara
  • University of Pennsylvania
A Data-Driven Bioinformatics Platform for the Design and Analysis of Multiplexed Antibody-Based Cytometry Experiments in Cancer Research Active
U01 2022
  • Brooke L. Fridley
  • H. Lee Moffitt Cancer Center and Research Institute
Analytical Tools for Studying the Tumor Microenvironment Leveraging Spatial Transcriptomics Active
U24 2022
  • Avi Ma'ayan
  • Icahn School of Medicine at Mount Sinai
ARCHS4: Massive Mining of Publicly Available RNA Sequencing Data Active
U24 2022
  • Veronica Miriam Rotemberg
  • Kivanc Kose
  • Sloan - Kettering Institute Cancer Research
M-ISIC: A Multimodal Open-Source International Skin Imaging Collaboration Informatics Platform for Automated Skin Cancer Detection Active
R21 2022
  • Prateek Prasanna
  • Chao Chen
  • State University New York Stony Brook
Computerized platform for interactive annotation and topological characterization of tumor associated vasculature for predicting response to immunotherapy in lung cancer Active
U24 2022
  • Nikolaus Schultz
  • Ethan Cerami
  • Jianjiong Gao
  • Chris Sander
  • Sloan - Kettering Institute Cancer Research
The cBioPortal for Cancer Genomics Active
U24 2022
  • Rachel Karchin
  • Johns Hopkins University
OpenCRAVAT: Informatics Tools for High-Throughput Analysis of Cancer Mutations Active
R21 2022
  • Travis Steele Johnson
  • Jie Zhang
  • Indiana University- Purdue University at Indianapolis
A deep-transfer-learning framework to transfer clinical information to single cells and spatial locations in cancer tissues Active
U01 2022
  • Samuel Volchenboum
  • University of Chicago
GEARBOx - a multisite clinical trial matching tool for children with relapsed or refractory cancer Active
R21 2022
  • Jin Zhang
  • Washington University
Deep learning in cervical cancer radiogenomics Active
U01 2022
  • Jacob Oleson
  • University of Iowa
Development of Small Area Interactive Risk Maps for Cancer Control Efforts Active
R21 2021
  • Li Zhang
  • University Of California, San Francisco
Computational approaches to unravel immune receptor sequencing for cancer immunotherapy Active
R21 2021
  • Yen-Yi Ho
  • University Of South Carolina At Columbia
scDECO: A novel statistical framework to identify differential co-expression gene combinations systematically using single-cell RNA sequencing data Active
R21 2021
  • Gavin Ha
  • Fred Hutchinson Cancer Research Center
Predicting transcriptional signatures and tumor subtypes from circulating tumor DNA Active
R21 2021
  • Itai Yanai
  • New York University School Of Medicine
Inferring cell state tumor microenvironment maps by integrating single-cell and spatial transcriptomics Active
U01 2021
  • Joshua Campbell
  • Masanao Yajima
  • Boston University Medical Campus
Utilizing Bayesian modeling to improve mutational signature inference in large-scale datasets Active
U01 2021
  • Giuseppe Narzisi
  • New York Genome Center
Advanced development of Lancet, an emerging tool for complex variant calling in cancer genomics Active
U24 2021
  • Guergana Savova
  • Harry Hochheiser
  • Jeremy Warner
  • Boston Children's Hospital
Cancer Deep Phenotype Extraction from Electronic Medical Records Active
U01 2021
  • Guanghua Xiao
  • UT Southwestern Medical Center
Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell Level Active
R21 2021
  • Meliha Yetisgen
  • University of Washington
Extraction of Symptom Burden from Clinical Narratives of Cancer Patients using Natural Language Processing Active
U01 2021
  • Lang Li
  • Ohio State University
An informatics bridge over the valley of death for cancer Phase I trials of drug-combination therapies Active
R21 2021
  • Jiang Bian
  • Yi Guo
  • University of Florida
Optimizing the Population Representativeness of Older Adults in Cancer Trials Active
U24 2021
  • Christina Yung
  • Lincoln D Stein
  • Ontario Institute For Cancer Research
Overture: A Multi-Scale Data Platform for Cancer Genomics Research Active
U24 2021
  • Alessandro Sette
  • Bjoern Peters
  • La Jolla Institute for Immunology
The Cancer Epitope Database And Analysis Resource Active
U24 2021
  • Vineet Bafna
  • University Of California, San Diego
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNA Active
U24 2021
  • Daniel Scott Marcus
  • Washington University
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center Active
U24 2021
  • Jill Mesirov
  • James Thomas Robinson
  • University Of California, San Diego
The Integrative Genomics Viewer (IGV) for Cancer Research Active
U01 2021
  • Michael Schatz
  • Johns Hopkins University
Integrative genomic and epigenomic analysis of cancer using long read sequencing Active
U01 2021
  • Lydia Kavraki
  • Gregory Lizee
  • Rice University
PROTEAN-CR: Proteomics Toolkit for Ensemble Analysis in Cancer Research Active
U24 2021
  • Jingchun Zhu
  • David H Haussler
  • University of California Santa Cruz
Enhance UCSC Xena: extend interactive visualization to ultra-large-scale multi-omics data and integrate with analysis resources Active
R21 2021
  • Yong Zang
  • Indiana Unviersity
Curve-free phase I/II clinical trial designs for molecularly targeted agents and immunotherapy Active
R21 2020
  • Jennifer Ellen Beane
  • Vijaya B Kolachalama
  • Boston University Medical Campus
PRISTINE: Pre-cancer histology identification of Endobronchial biopsies using deep learning Active
R21 2020
  • Hildreth Robert Frost
  • Dartmouth College
Cancer-specific gene set testing Active
R01 2020
  • Chun-Wei Chen
  • Beckman Research Institute/City of Hope
Integrative Analyses of Saturation CRISPR Protein Scan Active
U24 2020
  • Kooresh Isaac Shoghi
  • Daniel Scott Marcus
  • Washington University
Development of an Open-Source Preclinical Imaging Informatics Platform for Cancer Research Active
UE5 2020
  • Jeffery T Leek
  • Jeremy Goecks
  • Karriem Sadot Watson
  • Sarah J Wheelan
  • Johns Hopkins University
  • Oregon Health & Science University
Scalable multi-mode education to increase use of ITCR tools by diverse analysts Active
U24 2020
  • Greg Caporaso
  • Northern Arizona University
Advancing Our Understanding of Cancer and the Human Microbiome with QIIME 2 Active
U24 2020
  • Benjamin Raphael
  • Princeton University
Comprehensive and Robust Tools for Analysis of Tumor Heterogeneity and Evolution Active
U01 2020
  • Satish Viswanath
  • Pallavi Tiwari
  • Case Western Reserve University
RadxTools for Assessing Tumor Treatment Response on Imaging Active
U24 2020
  • James Eddy
  • Jacob Albrecht
  • Paul Christopher Boutros
  • Sage Bionetworks
Advancing Method Benchmarking and Data Sharing Through Crowd-Sourced Competitions in Cancer Research Active
R21 2020
  • Subhajyoti De
  • Rutgers Cancer Institute of New Jersey
Inference of Tumor Growth Dynamics Using Genomic Data Active
U24 2020
  • Jill Mesirov
  • Pablo Tamayo
  • University of California, San Diego
GenePattern and GenePattern Notebook: Integrative 'Omic Analysis for Cancer Research Active
U01 2020
  • Malachi Griffith
  • Washington University in St. Louis
Informatics Tools for Identification, Prioritization, and Clinical Application of Neoantigens Active
R21 2020
  • Clemens Grassberger
  • Massachusetts General Hospital
A Computational Method to Calculate the Radiation Dose to Circulating Lymphocytes Active
U01 2020
  • Elana Judith Fertig
  • Johns Hopkins University
Single-cell and imaging data integration software to spatially resolve the tumor microenvironment Active
U24 2020
  • Jesse Samuel Bohem
  • Aviad Tsherniak
  • Broad Institute, INC.
Advanced development of the Cancer Dependency Map portal (DepMap.org) Active
U01 2020
  • Ken Chen
  • University of Texas MD Anderson Cancer Center
Informatics for Functional Integration of Heterogeneous Cancer Genome and Transcriptome Sequencing Data Active
U24 2020
  • Helen Elizabeth Parkinson
  • Terrence Meehan
  • European Molecular Biology Laboratory
Patient Derived Cancer Model (PDCM) Finder Active
U01 2020
  • Amanda E Randles
  • Duke University
Technology for efficient simulation of cancer cell transport Active
U01 2019
  • Spyridon Bakas
  • University of Pennsylvania
The Federated Tumor Segmentation (FeTS) Platform: An Intuitive Tool Facilitating Secure Multi-Institutional Collaboration Active
U24 2019
  • John Quackenbush
  • Harvard School of Public Health
WebMeV: A Robust Platform for Intuitive Genomic Data Analysis Active
U01 2019
  • Melissa Cline
  • University of California, Santa Cruz
Eliminating Variants of Uncertain Significance in BRCA1, BRCA2 and Beyond Active
U01 2019
  • Daniel Rubin
  • Jayashree Kalpathy-Cramer
  • Stanford University
  • Massachusetts General Hospital
Distributed Learning of Deep Learning Models for Cancer Research Active
U01 2019
  • Wenyuan Li
  • University of California Los Angeles
Informatics Resources for Liquid Biopsy Research Active
U24 2019
  • Clifford Meyer
  • Dana-Farber Cancer Institute
Developing Informatics Technologies to Model Cancer Gene Regulation Active
U01 2019
  • Andrew Janowczyk
  • Anant Madabhushi
  • Case Western Reserve University
HistoTools: A Suite of Digital Pathology Tools for Quality Control, Annotation and Dataset Identification Active
U24 2019
  • Obi Griffith
  • Washington University
Standardized and Genome-Wide Clinical Interpretation of Complex Genotypes for Cancer Precision Medicine Active
U01 2019
  • Bruno De Man
  • General Electric Global Research Center
Open-Access X-Ray and CT Simulation Toolkit for Research in Cancer Imaging and Dosimetry Active
R21 2019
  • Jin Chen
  • Guo-Qiang Zhang
  • Baowei Fei
  • University of Kentucky
  • The University Texas at Dallas
STAN-CT: Standardization and Normalization of CT images for Lung Cancer Patients Active
R21 2019
  • Tianxi Cai
  • Harvard University School of Public Health
Semi-supervised Algorithms for Risk Assessment with Noisy EHR Data Active
R21 2019
  • Suvra Pal
  • Leili Shahriyari
  • Souvik Roy
  • University of Texas Arlington
  • University of Massachusetts Amherst
Data-Driven QSP Software for Personalized Colon Cancer Treatment Active
U01 2019
  • Jun Kong
  • Fusheng Wang
  • Georgia State University
Computational Pathology Software for Integrative Cancer Research with Three-Dimensional Digital Slides Active
U24 2018
  • Jeremy Goecks
  • Michael Schatz
  • Oregon Health and Science University
  • Johns Hopkins University
A Federated Galaxy for user-friendly large-scale cancer genomics research Active
U01 2018
  • Linda Shapiro
  • Joann Elmore
  • University of Washington
A Unified Machine Learning Package for Cancer Diagnosis Active
U24 2018
  • Alexej Abyzov
  • Mayo Clinic Rochester
Detection of somatic, subclonal and mosaic CNVs from sequencing Active
U24 2018
  • Bruce Faddegon
  • University of California, San Francisco
The TOPAS Tool for Particle Simulation, a Monte Carlo Simulation Tool for Physics, Biology and Clinical Research Active
U01 2018
  • Lee Cooper
  • Christopher Flowers
  • Metin Gurcan
  • Emory University
  • Ohio State University
Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling Active
U24 2018
  • Jill Mesirov
  • University of California, San Diego
Supporting and Evolving Gene Set Enrichment Analysis and the Molecular Signatures Database for Cancer Research Active
U01 2018
  • Jeremy Warner
  • Vanderbilt University Medical Center
Network Analysis for a Data-Driven Approach to Cancer Care Active
U24 2017
  • Ian Holmes
  • Lincoln Stein
  • University of California Berkeley
Developing the JBrowse Genome Browser to Visualize Structural Variants and Cancer Genomics Data Active
U24 2017
  • Guilherme Del Fiol
  • Kensaku Kawamoto
  • University of Utah
Scalable Clinical Decision Support for Individualized Cancer Risk Management Active
U24 2017
  • Ian Foster
  • University of Chicago
Building Protected Data Sharing Networks to Advance Cancer Risk Assessment and Treatment Active
U24 2017
  • Nikolaus Schultz
  • Ethan Cerami
  • Chris Sander
  • Sloan Kettering Institute for Cancer Research
The cBioPortal for Cancer Genomics Active
U24 2017
  • David Hanauer
  • University of Michigan
Advanced Development and Dissemination of EMERSE for Cancer Phenotyping from Medical Records Active
U24 2017
  • Fred Prior
  • Joel Saltz
  • Ashish Sharma
  • University of Arkansas
  • Stony Brook University
  • Emory University
TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine Active
U24 2016
  • Jill Mesirov
  • James Robinson
  • University of California, San Diego
The Integrative Genomics Viewer (IGV): Visualization Supporting Cancer Research Active
U24 2016
  • Gabor Marth
  • Aaron Quinlan
  • University of Utah
Monitoring Tumor Subclonal Heterogeneity Over Time and Space Active
U24 2016
  • Han Liang
  • Gordon Mills
  • University of Texas MD Anderson Cancer Center
TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data Active
U24 2016
  • Hua Xu
  • Ping Yang
  • University of Texas Health Sci. Center, Houston
  • Mayo Clinic - Jacksonville, Florida
Advancing Cancer Pharmacoepidemiology Research Through EHRs and Informatics Active
U24 2015
  • Anant Madabhushi
  • Metin Nafi Gurcan
  • Anne Martel
  • Case Western Reserve University
  • Ohio State University
  • University of Toronto
Pathology Image Informatics Platform for Visualization, Analysis and Management Active
U24 2014
  • Martin Morgan
  • Roswell Park Cancer Institute
Cancer Genomics: Integrative and Scalable Solutions in R / Bioconductor Active
U24 2014
  • Trey Ideker
  • University of California, San Diego
NDEx - the Network Data Exchange, A Network Commons for Biologists Active
U24 2013
  • Brian Haas
  • Broad Institute
Trinity: Transcriptome Assembly for Genetic and Functional Analysis of Cancer Active
R21 2019
  • Joshua Campbell
  • Boston University Medical Campus
Enhanced Deconvolution and Prediction of Mutational Signatures Complete
R21 2019
  • Paul Marjoram
  • University of Southern California
Conservation and Functional-Characterization of Tumor Methylation Sites Complete
R21 2019
  • Emilie Roncali
  • University of California at Davis
Personalized Dosimetry for Liver Cancer Radioembolization Using Fluid Dynamics Simulation Complete
R21 2019
  • Fuyong Xing
  • Toby Cornish
  • University of Colorado Denver
Development and Dissemination of KiNet: A Novel Imaging Informatics Tool for Gastrointestinal and Pancreatic Neuroendocrine Tumors Complete
R21 2019
  • Eliezer Van Allen
  • Dana-Farber Cancer Institute
A Statistical Framework to Systematically Characterize Cancer Driver Mutations in Noncoding Genomic Regions Complete
R21 2018
  • Giuseppe Narzisi
  • New York Genome Center
Somatic variant calling and phasing using colored de Bruijn graphs in heterogeneous tumors Complete
R21 2018
  • Anjishnu Banerjee
  • Medical College of Wisconsin
Bayesian learning algorithms for identifying and classifying heterogeneity of cell types in variety of solid tumors Complete
U01 2018
  • Xiaole Shirley Liu
  • Dana-Farber Cancer Institute
Bioinformatics Technology to Characterize Tumor Infiltrating Immune Repertoires Complete
U01 2018
  • Kai Tan
  • Children's Hospital of Philadelphia
Tools for annotating mutations in the 3D cancer genome Complete
R21 2018
  • Min Jin Ha
  • Veerabhadran Baladandayuthapani
  • University of Texas MD Anderson Cancer Center
  • University of Michigan
Proteomic-based integrated subject-specific networks in cancer Complete
R21 2018
  • Corey W. Arnold
  • University of California, Los Angeles
Predicting the Presence of Clinically Significant Prostate Cancer using Multiparametric MRI and MR-US Fusion Biopsy Complete
R21 2018
  • Guo-Qiang Zhang
  • Licong Cui
  • University of Kentucky Research Foundation
  • University of Kentucky Research Foundation
An Ontology-driven Faceted Query Engine for the Kentucky Cancer Registry Complete
R21 2018
  • Kristen Naegle
  • University of Virginia
Inferring Kinase Activity Profiles from Phosphoproteomic Data Complete
R21 2018
  • Li-Xuan Qin
  • Sloan Kettering Institute for Cancer Research
Statistical Evaluation and Selection of Normalization Methods for microRNA Sequencing Data in Cancer Biomarker Studies Complete
R01 2017
  • Jie Liang
  • Yan-Yuan Tseng
  • University of Illinois at Chicago
  • Wayne State University
Database and Tools for Functional Inference and Mechanistic Insight into Somatic Cancer Mutations Complete
U01 2017
  • William Evan Johnson
  • Boston University
An interactive analysis toolkit for single cell RNA-seq in cancer research Complete
Contract 2017
  • Timothy Olsen
  • Daniel Marcus
  • Radiologic, Inc.
  • Washington University in St. Louis
FDA Compliant Imaging Informatics for Cancer Research Complete
R21 2017
  • Nathalie Pochet
  • Brigham and Women's Hospital
Integrative Genomic Framework for Dissecting Regulatory Mechanisms Underlying Hepatocellular Carcinoma Complete
Contract 2017
  • Trinity Urban
  • Gordon Harris
  • Precision Imaging Metrics
  • Harvard Medical School
Cloud-Hosted Clinical Trial Imaging Assessment and Workflow Management System Complete
R21 2017
  • Samir Parekh
  • Icahn School of Medicine at Mount Sinai
A network-based approach for personalized treatment of Multiple Myeloma Complete
R21 2017
  • Simina Boca
  • Georgetown University
CGDnet: Cancer Gene Drug Network: Using patient-specific drug-gene networks for recommending targeted cancer therapies Complete
U01 2017
  • Vincent Carey
  • Brigham and Women's Hospital
Accelerating Cancer Genomics with Cloud-Scale Bioconductor Complete
U01 2017
  • Daniel Crichton
  • Raja Mazumder
  • Jet Propulsion Laboratory
  • George Washington University
Integration of Comprehensive Cancer Mutation and Expression-Associated Data for Biomarker Evaluation and Discovery Complete
U01 2016
  • Obi Griffith
  • Washington University in St. Louis
Development of Informatics Resources for Interpretation of Clinically Actionable Variants in Cancer Complete
U01 2016
  • Srinivas Chakra Chennubhotla
  • Daryl Sarachan
  • Lansing Taylor
  • University of Pittsburgh
Informatics Tools for Tumor Heterogeneity in Multiplexed Fluorescence Images Complete
U01 2016
  • Xinshu Grace Xiao
  • University of California, Los Angeles
Informatics Tools for Single-Nucleotide Analysis of Cancer RNA-Seq Complete
U24 2016
  • Timothy Griffin
  • University of Minnesota
A Galaxy-Based Multi-Omic Informatics Hub for Cancer Researchers Complete
U24 2016
  • Daniel Marcus
  • Richard Wahl
  • Washington University in St. Louis
Integrative Imaging Informatics for Cancer Research Complete
U24 2016
  • Helen Parkinson
  • European Molecular Biology Laboratory
The PDX Integrator - Re-Purposing KOMP2 Informatics to Widely Disseminate Data from Patient Derived Xenografts Complete
U24 2016
  • Rachel Karchin
  • Johns Hopkins University
Informatics Tools for High-Throughput Analysis of Cancer Mutations Complete
R21 2016
  • Xiaodong Wu
  • University of Iowa
Developing Enabling PET-CT Image Analysis Tools for Predicting Response in Radiation Cancer Therapy Complete
R21 2016
  • Lydia Kavraki
  • Gregory Lizee
  • Rice University
Structure-Based Selection of Tumor-Antigens for T-Cell Based Immunotherapy Complete
R21 2016
  • Dongjun Chung
  • Linda Kelemen
  • Medical University of South Carolina
Algorithms for Literature-Guided Multi-Platform Identification of Cancer Subtypes Complete
U01 2015
  • Lauren Jean O'Donnell
  • Harvard Medical School
Open Source Diffusion MRI Technology for Brain Cancer Research Complete
U01 2015
  • Kun Huang
  • Ohio State University
Informatics Links between Histological Features and Genetics in Cancer Complete
U01 2015
  • Michael Wigler
  • Alexander Krasnitz
  • Cold Spring Harbor Laboratory
Computational Framework for Single-Cell Genomics of Tumors Complete
U24 2015
  • Gordon Harris
  • Harvard Medical School
Extensible Open-Source Zero-Footprint Web Viewer for Oncologic Imaging Research Complete
U24 2015
  • Christos Davatzikos
  • Despina Kontos
  • University of Pennsylvania
Cancer Imaging Phenomics Software Suite: Application to Brain and Breast Cancer Complete
U24 2015
  • John Weinstein
  • Bradley Broom
  • University of Texas MD Anderson Cancer Center
Next-Generation Clustered Heat Maps for Fluent, Interactive Exploration of Omic Data Complete
U24 2015
  • David Andrew Gutman
  • Lee Cooper
  • Emory University
Advanced Development of an Open-source Platform for Web-based Integrative Digital Image Analysis in Cancer Complete
U24 2015
  • Jill Mesirov
  • University of California, San Diego
GenePattern Notebooks for Cancer Research Complete
U24 2015
  • John Quackenbush
  • Hugo Aerts
  • Dana-Farber Cancer Institute
Quantitative Radiomics System Decoding the Tumor Phenotype Complete
U24 2014
  • Guergana Savova
  • Boston Children's Hospital
  • University of Pittsburgh
Cancer Deep Phenotyping Extraction from Electronic Medical Records Complete
R01 2014
  • Laura Rozek
  • Maureen Sartor
  • University of Michigan
Integrative Epigenomic/Genomic Profiling and Biomarker Discovery in HPV+ and HPV- Complete
U01 2014
  • Guoqian Jiang
  • Mayo Clinic - Rochester, Minnesota
caCDE-QA: A Quality Assurance Platform for Cancer Study Common Data Elements Complete
U01 2014
  • Hong Yu
  • University of Massachusetts Medical School
EMR Adverse Drug Event Detection for Pharmacovigilance Complete
U01 2014
  • Jingshan Huang
  • University of South Alabama
OmniSearch: A Semantic Search Tool for Discovering MicroRNAs' Critical Roles in Human Cancer Complete
U01 2014
  • Benjamin Berman
  • Cedars-Sinai Medical Center
Software Tools For Regulatory Analysis of Large Cancer Methylome Datasets Complete
U01 2014
  • Bobbie-Jo Mary Webb-Robertson
  • Pacific Northwest National Laboratory
Interactive Informatics Resource for Research-driven Cancer Proteomics Complete
U24 2014
  • Bruce Rosen
  • Jayashree Kalpathy-Cramer
  • Massachusetts General Hospital
Informatics Tools for Optimized Imaging Biomarkers for Cancer Research & Discovery Complete
U24 2014
  • Joel Saltz
  • Stony Brook University
Tools to Analyze Morphology and Spatially Mapped Molecular Data Complete
U24 2013
  • Michael Becich
  • University of Pittsburgh
Advanced Development of TIES-Enhancing Access to Tissue for Cancer Research Complete
U24 2013
  • David Haussler
  • University of California, Santa Cruz
Cloud Based Resource for Data Hosting, Visualization and Analysis Using UCSC Cancer Genomics Browser Complete
R01 2013
  • Joshua Stuart
  • University of California, Santa Cruz
ESCE: Discovering Molecular Processes Complete
U24 2013
  • Ron Kikinis
  • Andrey Fedorov
  • Brigham and Women's Hospital
  • Harvard Medical School
Quantitative Image Informatics for Cancer Research (QIICR) Complete
R01 2013
  • Hiroyuki Yoshida
  • Massachusetts General Hospital
Cloud-Computer-Aided Diagnostic Imaging Decision Support System Complete
R01 2013
  • William Noble
  • University of Washington
Interpreting Massive Genomic Data Sets via Summarization Complete
U01 2013
  • Shirley Liu
  • Dana-Farber Cancer Institute
Developing Informatics Technologies to Model Cancer Complete
U01 2013
  • Rachel Karchin
  • Johns Hopkins University
Informatics Tools for High-Throughput Analysis of Cancer Mutations Complete
U01 2013
  • Elmer Bernstam
  • Funda Meric-Bernstam
  • University of Texas MD Anderson Cancer Center
  • University of Texas Health Sci. Center, Houston
Informatics to Enable Routine Personalized Cancer Therapy Complete
U01 2011
  • John Quackenbush
  • Dana-Farber Cancer Institute
MeV: Software for Next Generation Genomic Data Analysis Complete
R01 2002
  • Janan Eppig
  • Carol Bult
  • Jackson Laboratory
Electronic Access to Mouse Tumor Data Complete