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Fiona Kathryn Hamey

dblp:152/7652 · DBLP profile ↗
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1ranked-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 · 1

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
chromosome conformation capture
0.212014
FisHiCal: an R package for iterative FISH-based calibration of Hi-C data · Bioinform. 2014
Bioinformatics and computational biology › epigenomics › 3d genome organization
3d genome reconstruction
0.112014
FisHiCal: an R package for iterative FISH-based calibration of Hi-C data · Bioinform. 2014
Bioinformatics and computational biology › genomics
genome organization
0.112014
FisHiCal: an R package for iterative FISH-based calibration of Hi-C data · Bioinform. 2014
YearPublicationVenuePosition
2014 FisHiCal: an R package for iterative FISH-based calibration of Hi-C data
abstract
UNLABELLED: The fluorescence in situ hybridization (FISH) method has been providing valuable information on physical distances between loci (via image analysis) for several decades. Recently, high-throughput data on nearby chemical contacts between and within chromosomes became available with the Hi-C method. Here, we present FisHiCal, an R package for an iterative FISH-based Hi-C calibration that exploits in full the information coming from these methods. We describe here our calibration model and present 3D inference methods that we have developed for increasing its usability, namely, 3D reconstruction through local stress minimization and detection of spatial inconsistencies. We next confirm our calibration across three human cell lines and explain how the output of our methods could inform our model, defining an iterative calibration pipeline, with applications for quality assessment and meta-analysis. AVAILABILITY AND IMPLEMENTATION: FisHiCal v1.1 is available from http://cran.r-project.org/.
Yoli Shavit, Fiona Kathryn Hamey, Pietro Liò
Bioinform.2