Author

Hsin-Nan Lin

Institute of Information Science, Academia SinicaORCID 0000-0001-7225-7161Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Approach:machine learning (classical)· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:protein sequence· 1

Frequent Co-Authors

Wen‐Lian Hsu· 3 shared Ching-Tai Chen· 1 shared Ting‐Yi SungiD· 1 shared Wen−Lian HsuiD· 1 shared Yaw-Ling LiniD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Wen‐Lian Hsu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedFeb 24, 2020

GSAlign - an efficient sequence alignment tool for intra-species genomes

Hsin-Nan Lin, Wen‐Lian Hsu

GSAlign efficiently aligns large intra-species genomes and identifies sequence variants with high accuracy.

63 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 5, 2020

MapCaller - An integrated and efficient tool for short-read mapping and variant calling using high-throughput sequenced data

Hsin-Nan Lin, Wen‐Lian Hsu

MapCaller integrates short-read mapping and variant calling to accurately and efficiently identify genetic variants from NGS data.

6 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 17, 2019

StrainPro: a highly accurate Metagenomic strain-level profiling tool

Hsin-Nan Lin, Yaw-Ling Lin, Wen−Lian Hsu

StrainPro is a metagenomic tool that accurately identifies microbial strains and estimates their abundances, outperforming existing tools in precision, recall, and robustness.

1 citation

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 25, 2018

UniLoc: A universal protein localization site predictor for eukaryotes and prokaryotes

Hsin-Nan Lin, Ching-Tai Chen, Ting‐Yi Sung, Wen‐Lian Hsu

UniLoc predicts subcellular localization of proteins using sequence analysis, improving predictions when no similar proteins are found.

3 citations

protein sequencemachine learning (classical)

𝕏 PostBluesky