« Back
Concentrate: feature-scale genomic data browsing
Poster Title: Concentrate: feature-scale genomic data browsing
Submitted on 13 Sep 2017
Author(s): Anton Bragin, Alexander Afanasyev, Yaroslav Pereyaslov, Alexander Slepchenkov
Affiliations: Parseq Lab
This poster was presented at ISCB/ECCB 2017
Poster Views: 449
View poster »

Poster Information
Abstract: Existing tools for genomic data visualization (UCSC Genome Browser, Ensembl Genome Browser, IGV, etc.) share the principle of displaying data in physical coordinates of reference genome providing user with pan and zoom controls for navigation. This approach is convenient for low-level sequencing data exploration (e.g. BAM files) but is ineffective for sparse genomic annotation data analysis and sequencing result interpretation where presence and number of features or feature relations is more important than physical size and exact location.
In Concentrate we implement a novel approach to genomic data visualization that is based on fixed visual scale unit. Every displayed object (annotation feature, genetic variant, etc.) is scaled to have minimal possible size sufficient to visualize all interactions (overlapping, inclusion, etc.) with other objects, so any isolated element equals one unit and every interaction site increases element size by one. This ensures the most efficient use of screen space and makes element interaction events straightforward to detect. Base-pair scale is displayed in parallel to provide information on objects physical size. Concentrate also retrieves objects metadata and provides the ability to filter objects on the fly with arbitrary complex queries omitting the necessity to use external tools and reload processed dataset into the browser.
Concentrate has client-server architecture and can run both as desktop genome browser and as web-service for genomic and annotation data visualization and sharing both intraorganizational and worldwide. Concentrate requires only web-browser and Java 8 to operate. Source code is licensed under GNU AGPLv3 and available on GitHub.
Summary: Concentrate main goal is to present and filter genomic data elements (bands) grouped in tracks. Currently concentrate supports BED and VCF files as the sources of genetic variation and annotation data, we are working on GFF / GVF and BAM files support as well as support for external databases as genomic data sources.Report abuse »
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters

Evaluation of the Orion Outlier Detection Algorithm for Data Streams
Nam Phung

Distinct deposition of amyloid-bspecies in brains with Alzheimer’s disease pathology visualized with MALDI imaging mass spectrometry
Nobuto Kakuda1, Tomohiro Miyasaka1, Takashi Nirasawa2, Shigeo Murayama3, Yasuo Ihara1 and Masaya Ikegawa1

Routine Analysis of Host Cell Proteins in Antibody Preparations using PASEF
Stuart Pengelley1, Guillaume Tremintin², Waltraud Evers1, Detlev Suckau1

A Novel Method For Discovery of Peripheral Blood Biomarkers in Idiopathic Pulmonary Fibrosis Using Extensive Depletion and TMTcalibratorTM Tissue-Enhanced Plasma Proteomics
I. Pike1, M. Bremang1, P.J. Wolters 2, R. Gaster3, S. Turner3, M. Decaris3

Strategies for High-Titer Protein Expression Using the ExpiCHO and Expi293 Transient Expression Systems
Chao Yan Liu, Jian Liu, Wanhua Yan, Kyle Williston, Katy Irvin, Henry Chou, Jonathan Zmuda