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Joseph F. Costello

dblp:126/9739 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3

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 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.532014
methylC Track: visual integration of single-base resolution DNA methylation data on the WashU EpiGenome Browser · Bioinform. 2014
ALEA: a toolbox for allele-specific epigenomics analysis · Bioinform. 2014
MethylCRF, an Algorithm for Estimating Absolute Methylation Levels at Single CpG Resolution from Methylation Enrichment and Restriction Enzyme Sequencing Methods · RECOMB 2013
Bioinformatics and computational biology › statistical genetics
allele-specific analysis
0.212014
ALEA: a toolbox for allele-specific epigenomics analysis · Bioinform. 2014
Bioinformatics and computational biology › epigenomics
ChIP-seq analysis
0.212014
ALEA: a toolbox for allele-specific epigenomics analysis · Bioinform. 2014
Bioinformatics and computational biology › genome annotation
genome browser integration
0.212014
methylC Track: visual integration of single-base resolution DNA methylation data on the WashU EpiGenome Browser · Bioinform. 2014
Bioinformatics and computational biology › epigenomics
DNA methylation
0.212013
MethylCRF, an Algorithm for Estimating Absolute Methylation Levels at Single CpG Resolution from Methylation Enrichment and Restriction Enzyme Sequencing Methods · RECOMB 2013
Bioinformatics and computational biology › epigenomics › DNA methylation › DNA methylation analysis
methylation level estimation
0.212013
MethylCRF, an Algorithm for Estimating Absolute Methylation Levels at Single CpG Resolution from Methylation Enrichment and Restriction Enzyme Sequencing Methods · RECOMB 2013

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

visualization · 0.2next-generation sequencing analysis · 0.2allelic variation integration · 0.2conditional random field · 0.2
YearPublicationVenuePosition
2014 ALEA: a toolbox for allele-specific epigenomics analysis
abstract
The assessment of expression and epigenomic status using sequencing based methods provides an unprecedented opportunity to identify and correlate allelic differences with epigenomic status. We present ALEA, a computational toolbox for allele-specific epigenomics analysis, which incorporates allelic variation data within existing resources, allowing for the identification of significant associations between epigenetic modifications and specific allelic variants in human and mouse cells. ALEA provides a customizable pipeline of command line tools for allele-specific analysis of next-generation sequencing data (ChIP-seq, RNA-seq, etc.) that takes the raw sequencing data and produces separate allelic tracks ready to be viewed on genome browsers. The pipeline has been validated using human and hybrid mouse ChIP-seq and RNA-seq data. AVAILABILITY: The package, test data and usage instructions are available online at http://www.bcgsc.ca/platform/bioinfo/software/alea CONTACT: : [email protected] or [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Hamid Younesy, Torsten Möller, Alireza Heravi Moussavi, Jeffrey B. Cheng, Joseph F. Costello, Matthew C. Lorincz, Mohammad M. Karimi, Steven J. M. Jones
Bioinform.5
2014 methylC Track: visual integration of single-base resolution DNA methylation data on the WashU EpiGenome Browser
abstract
SUMMARY: We present methylC track, an efficient mechanism for visualizing single-base resolution DNA methylation data on a genome browser. The methylC track dynamically integrates the level of methylation, the position and context of the methylated cytosine (i.e. CG, CHG and CHH), strand and confidence level (e.g. read coverage depth in the case of whole-genome bisulfite sequencing data). Investigators can access and integrate these information visually at specific locus or at the genome-wide level on the WashU EpiGenome Browser in the context of other rich epigenomic datasets. AVAILABILITY AND IMPLEMENTATION: The methylC track is part of the WashU EpiGenome Browser, which is open source and freely available at http://epigenomegateway.wustl.edu/browser/. The most up-to-date instructions and tools for preparing methylC track are available at http://epigenomegateway.wustl.edu/+/cmtk. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Daofeng Li, Rebecca F. Lowdon, Joseph F. Costello, Ting Wang 0032
Bioinform.4
2013 MethylCRF, an Algorithm for Estimating Absolute Methylation Levels at Single CpG Resolution from Methylation Enrichment and Restriction Enzyme Sequencing Methods
Michael Stevens, Jeffrey B. Cheng, Mingchao Xie, Joseph F. Costello, Ting Wang 0032
RECOMB4