- Albany Medical College1 published article
- Borough of Manhattan Community College1 published article
- Carestream Molecular Imaging1 published article
- Cold Spring Harbor Laboratory3 published articles
- Columbia University24 published articles
- Cornell University30 published articles
- CUBRC, Inc.1 published article
- Hunter College2 published articles
- Institute for Human Genetics and Biochemistry1 published article
- MakerBot1 published article
- Memorial Sloan Kettering Cancer Center1 published article
- Mount Sinai12 published articles
- New York Blood Center1 published article
- New York Medical College1 published article
- New York Presbyterian Hospital1 published article
- New York Psychiatric Institute1 published article
- New York State Department of Health3 published articles
- New York University18 published articles
- North Shore - LIJ Health System1 published article
- Pace University1 published article
- Queens College2 published articles
- Queensborough Community College1 published article
- Rensselaer Polytechnic Institute2 published articles
- Rockefeller University7 published articles
- Roswell Park Cancer Institute2 published articles
- State University of New York5 published articles
- Stony Brook University7 published articles
- SUNY Upstate Medical University6 published articles
- Syracuse University4 published articles
- The City College of New York3 published articles
- The City University of New York1 published article
- Union College1 published article
- University at Buffalo7 published articles
- University of Rochester23 published articles
- Vassar College2 published articles
- Yeshiva University7 published articles
Cold Spring Harbor Laboratory
3 articles published in JoVE
Live Imaging of Drug Responses in the Tumor Microenvironment in Mouse Models of Breast Cancer
1Watson School of Biological Sciences, 2Cold Spring Harbor Laboratory, 3Departments of Medical Genetics, University of Oslo and Oslo University Hospital
We describe a method for imaging response to anti-cancer treatment in vivo and at single cell resolution.
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
1Department of Applied Mathematics & Statistics, Stony Brook University, 2Computational Biology and Bioinformatics, Cold Spring Harbor Laboratory, 3Department of Molecular and Cell Biology, University of Texas at Dallas
Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone enrichment.
In Situ Hybridization for the Precise Localization of Transcripts in Plants
The in situ hybridization protocol described here allows a direct localization of mRNA and small RNA expression at the cellular level with high sensitivity and specificity. The procedure is optimized for paraffin-embedded plant tissue sections, is applicable to a wide range of plants and tissues, and can be completed within ten days.
