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

Yingzhi Qian

dblp:197/8208 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein-RNA interaction
0.312017
CLIP Tool Kit (CTK): a flexible and robust pipeline to analyze CLIP sequencing data · Bioinform. 2017
Bioinformatics and computational biology › sequence analysis
high-throughput sequencing data analysis
0.112017
CLIP Tool Kit (CTK): a flexible and robust pipeline to analyze CLIP sequencing data · Bioinform. 2017

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

peak calling · 0.3genomic interval analysis · 0.3
YearPublicationVenuePosition
2017 CLIP Tool Kit (CTK): a flexible and robust pipeline to analyze CLIP sequencing data
abstract
Summary: UV cross-linking and immunoprecipitation (CLIP), followed by high-throughput sequencing, is a powerful biochemical assay that maps in vivo protein-RNA interactions on a genome-wide scale. The CLIP Tool Kit (CTK) aims at providing a set of tools for flexible, streamlined and comprehensive CLIP data analysis. This software package extends the scope of our original CIMS package. Availability and Implementation: The software is implemented in Perl. The source code and detailed documentation are available at http://zhanglab.c2b2.columbia.edu/index.php/CTK . Contact: [email protected].
Ankeeta Shah, Yingzhi Qian, Sebastien M. Weyn-Vanhentenryck
Bioinform.2