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Sha He

dblp:157/1846 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved

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

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, 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.

Computer graphics and multimedia
1 paper
Computational fabrication · 50% Geometric modeling and processing · 50%
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
Computational fabrication
additive manufacturing
0.412019
Binary Image Carving for 3D Printing · Comput. Aided Des. 2019
Geometric modeling and processing
solid modeling
0.412019
Binary Image Carving for 3D Printing · Comput. Aided Des. 2019
Bioinformatics and computational biology
genomics
0.212015
LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis · Bioinform. 2015
Bioinformatics and computational biology › transcriptomics › non-coding RNA analysis
lncRNA function analysis
0.212015
LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis · Bioinform. 2015

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

triplex formation analysis · 0.2
YearPublicationVenuePosition
2019 Binary Image Carving for 3D Printing
Jingru Yang, Sha He, Lin Lu 0001
Comput. Aided Des.2
2015 LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis
abstract
MOTIVATION: In mammalian cells, many genes are silenced by genome methylation. DNA methyltransferases and polycomb repressive complexes, which both lack sequence-specific DNA-binding motifs, are recruited by long non-coding RNA (lncRNA) to specific genomic sites to methylate DNA and chromatin. Increasing evidence indicates that many lncRNAs contain DNA-binding motifs that can bind to DNA by forming RNA:DNA triplexes. The identification of lncRNA DNA-binding motifs and binding sites is essential for deciphering lncRNA functions and correct and erroneous genome methylation; however, such identification is challenging because lncRNAs may contain thousands of nucleotides. No computational analysis of typical lncRNAs has been reported. Here, we report a computational method and program (LongTarget) to predict lncRNA DNA-binding motifs and binding sites. We used this program to analyse multiple antisense lncRNAs, including those that control well-known imprinting clusters, and obtained results agreeing with experimental observations and epigenetic marks. These results suggest that it is feasible to predict many lncRNA DNA-binding motifs and binding sites genome-wide. AVAILABILITY AND IMPLEMENTATION: Website of LongTarget: lncrna.smu.edu.cn, or contact: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sha He, Haihua Liu
Bioinform.1