A5101403821- Cancer Genomics and Diagnostics
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
- Single-cell and spatial transcriptomics
- Scientific Computing and Data Management
- Research Data Management Practices
- Algorithms and Data Compression
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
- Cell Image Analysis Techniques
- Genetic Associations and Epidemiology
- 3D Surveying and Cultural Heritage
- Image Processing and 3D Reconstruction
Seven Bridges Genomics (United States)
2017
Mathematical Institute of the Serbian Academy of Sciences and Arts
2013-2014
Serbian Academy of Sciences and Arts
2013-2014
The Seven Bridges Cancer Genomics Cloud (CGC; www.cancergenomicscloud.org) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data of interest be immediately analyzed in the cloud using more than 200 preinstalled, curated bioinformatics...
The Playbook Workflow Builder (PWB) is a web-based platform to dynamically construct and execute bioinformatics workflows by utilizing growing network of input datasets, semantically annotated API endpoints, data visualization tools contributed an ecosystem collaborators. Via user-friendly user interface, can be constructed from building-blocks without technical expertise. output each step the workflow added into reports containing textual descriptions, figures, tables, references. To...
Abstract Many biomedical research projects produce large-scale datasets that may serve as resources for the community hypothesis generation, facilitating diverse use cases. Towards goal of developing infrastructure to support findability, accessibility, interoperability, and reusability (FAIR) digital objects maximally extracting knowledge from data, complex queries span across data tools multiple are currently not easily possible. By utilizing existing FAIR application programming...
<div>Abstract<p>The Seven Bridges Cancer Genomics Cloud (CGC; <a href="http://www.cancergenomicscloud.org" target="_blank">www.cancergenomicscloud.org</a>) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...
<p>Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (<a href="http://docs.cancergenomicscloud.org" target="_blank">docs.cancergenomicscloud.org</a>)</p>
<p>Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (<a href="http://docs.cancergenomicscloud.org" target="_blank">docs.cancergenomicscloud.org</a>)</p>
<div>Abstract<p>The Seven Bridges Cancer Genomics Cloud (CGC; <a href="http://www.cancergenomicscloud.org" target="_blank">www.cancergenomicscloud.org</a>) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...
<div>Abstract<p>The Seven Bridges Cancer Genomics Cloud (CGC; <a href="http://www.cancergenomicscloud.org" target="_blank">www.cancergenomicscloud.org</a>) enables researchers to rapidly access and collaborate on massive public cancer genomic datasets, including The Genome Atlas. It provides secure on-demand data, analysis tools, computing resources. Researchers from diverse backgrounds can easily visualize, query, explore datasets visually or programmatically. Data...
<p>Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (<a href="http://docs.cancergenomicscloud.org" target="_blank">docs.cancergenomicscloud.org</a>)</p>
<p>Video 1. Narrated screencast highlighting the major features of CGC. For additional videos, tutorials and user guides, visit knowledge center (<a href="http://docs.cancergenomicscloud.org" target="_blank">docs.cancergenomicscloud.org</a>)</p>
Single-cell DNA sequencing is a powerful tool to evaluate the state of heterogeneity heterogeneous tissues like cancer in quantitative manner that bulk can never achieve. DOP-PCR (Degenerate Oligonucleotide-Primed Polymerase Chain Reaction), MDA (Multiple Displacement Amplification), MALBAC Annealing and Looping-Based Amplification Cycles), LIANTI (Linear via Transposon Insertion) TnBC (Transposon Barcoded) have been primary choices prepare single-cell libraries. library prep method simple...
Single-cell sequencing provides a new level of granularity in studying the heterogeneous nature cancer cells. For some cancers, this heterogeneity is result copy number changes genes within cellular genomes. The ability to accurately determine such critical tracing and understanding tumorigenesis. Current single-cell genome methodologies infer numbers based on statistical approaches followed by rounding decimal integer values. Such are sample dependent, have varying calling sensitivities...