Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from VLDB 2026 / reviewers in the wild / expert

John N. Feder

dblp:210/9182 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › functional genomics
CRISPR analysis		 0.312017
CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline · Bioinform. 2017
Bioinformatics and computational biology
genomics		 0.312017
CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline · Bioinform. 2017
Bioinformatics and computational biology › sequence analysis › sequence variation analysis
indel detection		 0.312017
CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline · Bioinform. 2017
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis		 0.312017
CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline · Bioinform. 2017

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

burrows-wheeler aligner · 0.3assembly-based realignment · 0.3
YearPublicationVenuePosition
2017 CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline
abstract
SUMMARY: The simplicity and precision of CRISPR/Cas9 system has brought in a new era of gene editing. Screening for desired clones with CRISPR-mediated genomic edits in a large number of samples is made possible by next generation sequencing (NGS) due to its multiplexing. Here we present CRISPR-DAV (CRISPR Data Analysis and Visualization) pipeline to analyze the CRISPR NGS data in a high throughput manner. In the pipeline, Burrows-Wheeler Aligner and Assembly Based ReAlignment are used for small and large indel detection, and results are presented in a comprehensive set of charts and interactive alignment view. AVAILABILITY AND IMPLEMENTATION: CRISPR-DAV is available at GitHub and Docker Hub repositories: https://github.com/pinetree1/crispr-dav.git and https://hub.docker.com/r/pinetree1/crispr-dav/. CONTACT: [email protected].
Xuning Wang, Charles Tilford, Isaac Neuhaus, Gabe Mintier, John N. Feder, Stefan Kirov
 Bioinform.6