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Adam Buckle

dblp:254/3384 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved

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

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

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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
chromosome conformation capture
0.412019
capC-MAP: software for analysis of Capture-C data · Bioinform. 2019
Bioinformatics and computational biology › genomics
genome analysis
0.412019
capC-MAP: software for analysis of Capture-C data · Bioinform. 2019
YearPublicationVenuePosition
2019 capC-MAP: software for analysis of Capture-C data
abstract
SUMMARY: Capture-C is a member of the chromosome-conformation-capture family of experimental methods which probes the 3D organization of chromosomes within the cell nucleus. It provides high-resolution information on the genome-wide chromatin interactions from a set of 'target' genomic locations, and is growing in popularity as a tool for improving our understanding of cis-regulation and gene function. Yet, analysis of the data is complicated, and to date there has been no dedicated or easy-to-use software to automate the process. We present capC-MAP, a software package for the analysis of Capture-C data. AVAILABILITY AND IMPLEMENTATION: Implemented with both ease of use and flexibility in mind, capC-MAP is a suit of programs written in C++ and Python, where each program can be run separately, or an entire analysis can be performed with a single command line. It is available under an open-source licence at https://github.com/cbrackley/capC-MAP, as well as via the conda package manager, and should run on any standard Unix-style system. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Adam Buckle, Nick Gilbert, Davide Marenduzzo, Chris A. Brackley
Bioinform.1