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Matthew L. Speir

dblp:141/5341 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-2035-1129ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
single-cell analysis
0.512021
UCSC Cell Browser: visualize your single-cell data · Bioinform. 2021
Bioinformatics and computational biology › single-cell analysis
single-cell visualization
0.512021
UCSC Cell Browser: visualize your single-cell data · Bioinform. 2021
Bioinformatics and computational biology
genome annotation
0.212016
UCSC Data Integrator and Variant Annotation Integrator · Bioinform. 2016
Bioinformatics and computational biology › multi-omics data integration
genomic data integration
0.212016
UCSC Data Integrator and Variant Annotation Integrator · Bioinform. 2016
Bioinformatics and computational biology › genomics
variant annotation
0.212016
UCSC Data Integrator and Variant Annotation Integrator · Bioinform. 2016
Bioinformatics and computational biology › genomics › genome visualization
genome browser
0.212015
Navigating protected genomics data with UCSC Genome Browser in a Box · Bioinform. 2015
Bioinformatics and computational biology › genomics
genome visualization
0.212015
Navigating protected genomics data with UCSC Genome Browser in a Box · Bioinform. 2015
Bioinformatics and computational biology › genomics
genomic data management
0.212015
Navigating protected genomics data with UCSC Genome Browser in a Box · Bioinform. 2015
Bioinformatics and computational biology › gene expression analysis
gene expression visualization
0.112021
UCSC Cell Browser: visualize your single-cell data · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

web-based visualization · 0.5python package · 0.5
YearPublicationVenuePosition
2021 UCSC Cell Browser: visualize your single-cell data
abstract
SUMMARY: As the use of single-cell technologies has grown, so has the need for tools to explore these large, complicated datasets. The UCSC Cell Browser is a tool that allows scientists to visualize gene expression and metadata annotation distribution throughout a single-cell dataset or multiple datasets. AVAILABILITY AND IMPLEMENTATION: We provide the UCSC Cell Browser as a free website where scientists can explore a growing collection of single-cell datasets and a freely available python package for scientists to create stable, self-contained visualizations for their own single-cell datasets. Learn more at https://cells.ucsc.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Matthew L. Speir, Aparna Bhaduri, Nikolay S. Markov, Pablo A. Moreno, Tomasz J. Nowakowski, Irene Papatheodorou, Alex A. Pollen, Brian J. Raney, Lucas Seninge, W. James Kent, Maximilian Haeussler
Bioinform.1
2016 UCSC Data Integrator and Variant Annotation Integrator
abstract
UNLABELLED: Two new tools on the UCSC Genome Browser web site provide improved ways of combining information from multiple datasets, optionally including the user's own custom track data and/or data from track hubs. The Data Integrator combines columns from multiple data tracks, showing all items from the first track along with overlapping items from the other tracks. The Variant Annotation Integrator is tailored to adding functional annotations to variant calls; it offers a more restricted set of underlying data tracks but adds predictions of each variant's consequences for any overlapping or nearby gene transcript. When available, it optionally adds additional annotations including effect prediction scores from dbNSFP for missense mutations, ENCODE regulatory summary tracks and conservation scores. AVAILABILITY AND IMPLEMENTATION: The web tools are freely available at http://genome.ucsc.edu/ and the underlying database is available for download at http://hgdownload.cse.ucsc.edu/ The software (written in C and Javascript) is available from https://genome-store.ucsc.edu/ and is freely available for academic and non-profit usage; commercial users must obtain a license. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Angie S. Hinrichs, Brian J. Raney, Matthew L. Speir, Brooke L. Rhead, Jonathan Casper, Donna Karolchik, Robert M. Kuhn, Kate R. Rosenbloom, Ann S. Zweig, David Haussler, W. James Kent
Bioinform.3
2015 Navigating protected genomics data with UCSC Genome Browser in a Box
abstract
UNLABELLED: Genome Browser in a Box (GBiB) is a small virtual machine version of the popular University of California Santa Cruz (UCSC) Genome Browser that can be run on a researcher's own computer. Once GBiB is installed, a standard web browser is used to access the virtual server and add personal data files from the local hard disk. Annotation data are loaded on demand through the Internet from UCSC or can be downloaded to the local computer for faster access. AVAILABILITY AND IMPLEMENTATION: Software downloads and installation instructions are freely available for non-commercial use at https://genome-store.ucsc.edu/. GBiB requires the installation of open-source software VirtualBox, available for all major operating systems, and the UCSC Genome Browser, which is open source and free for non-commercial use. Commercial use of GBiB and the Genome Browser requires a license (http://genome.ucsc.edu/license/).
Maximilian Haeussler, Brian J. Raney, Angie S. Hinrichs, Hiram Clawson, Ann S. Zweig, Donna Karolchik, Jonathan Casper, Matthew L. Speir, David Haussler, W. James Kent
Bioinform.8