Yuk Kei Wan
Overview
Explore the profile of Yuk Kei Wan including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
12
Citations
363
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Samarakoon H, Kei Wan Y, Parameswaran S, Goke J, Gamaarachchi H, Deveson I
Bioinformatics
. 2025 Mar;
PMID: 40085000
Motivation: Nanopore sequencing by Oxford Nanopore Technologies (ONT) enables direct analysis of DNA and RNA by capturing raw electrical signals. Different nanopore chemistries have varied k-mer lengths, current levels, and...
2.
Chen Y, Davidson N, Kei Wan Y, Yao F, Su Y, Gamaarachchi H, et al.
Nat Methods
. 2025 Mar;
PMID: 40082608
The human genome contains instructions to transcribe more than 200,000 RNAs. However, many RNA transcripts are generated from the same gene, resulting in alternative isoforms that are highly similar and...
3.
Pardo-Palacios F, Wang D, Reese F, Diekhans M, Carbonell-Sala S, Williams B, et al.
Nat Methods
. 2024 Jun;
21(7):1349-1363.
PMID: 38849569
The Long-read RNA-Seq Genome Annotation Assessment Project Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. Using different protocols and sequencing platforms, the consortium generated over...
4.
Zheng W, Fong J, Kei Wan Y, Chu A, Huang Y, Wong A, et al.
Cell Syst
. 2023 Nov;
14(12):1103-1112.e6.
PMID: 38016465
The sequence in the 5' untranslated regions (UTRs) is known to affect mRNA translation rates. However, the underlying regulatory grammar remains elusive. Here, we propose MTtrans, a multi-task translation rate...
5.
Bryce-Smith S, Burri D, Gazzara M, Herrmann C, Danecka W, Fitzsimmons C, et al.
RNA
. 2023 Oct;
29(12):1839-1855.
PMID: 37816550
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, limitations, and consequently, of the...
6.
Pardo-Palacios F, Wang D, Reese F, Diekhans M, Carbonell-Sala S, Williams B, et al.
bioRxiv
. 2023 Aug;
PMID: 37546854
The Long-read RNA-Seq Genome Annotation Assessment Project (LRGASP) Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. The consortium generated over 427 million long-read sequences from...
7.
Bryce-Smith S, Burri D, Gazzara M, Herrmann C, Danecka W, Fitzsimmons C, et al.
bioRxiv
. 2023 Jul;
PMID: 37425672
The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of...
8.
Chen Y, Sim A, Kei Wan Y, Yeo K, Lee J, Ling M, et al.
Nat Methods
. 2023 Jun;
20(8):1187-1195.
PMID: 37308696
Most approaches to transcript quantification rely on fixed reference annotations; however, the transcriptome is dynamic and depending on the context, such static annotations contain inactive isoforms for some genes, whereas...
9.
Hendra C, Pratanwanich P, Kei Wan Y, Goh W, Thiery A, Goke J
Nat Methods
. 2022 Nov;
19(12):1590-1598.
PMID: 36357692
RNA modifications such as m6A methylation form an additional layer of complexity in the transcriptome. Nanopore direct RNA sequencing can capture this information in the raw current signal for each...
10.
Kei Wan Y, Hendra C, Pratanwanich P, Goke J
Trends Genet
. 2021 Oct;
38(3):246-257.
PMID: 34711425
Nanopore sequencing provides signal data corresponding to the nucleotide motifs sequenced. Through machine learning-based methods, these signals are translated into long-read sequences that overcome the read size limit of short-read...