Peng Ni

About Peng Ni

Peng Ni, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Central South University, specializes in the field of bioinformatics, genetics, epigenetics.

His recent articles reflect a diverse array of research interests and contributions to the field:

De novo diploid genome assembly using long noisy reads

Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework

DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing

NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data

Fec: a fast error correction method based on two-rounds overlapping and caching

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer

Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning

NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks

Peng Ni Information

University

Position

PhD candidate

Citations(all)

536

Citations(since 2020)

511

Cited By

156

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Peng Ni Skills & Research Interests

bioinformatics

genetics

epigenetics

Top articles of Peng Ni

De novo diploid genome assembly using long noisy reads

bioRxiv

2022/9/27

Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework

Communications Biology

2023/8/24

DNA 5-methylcytosine detection and methylation phasing using PacBio circular consensus sequencing

Nature communications

2023/7/8

NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data

Bioinformatics

2023/1/1

Fec: a fast error correction method based on two-rounds overlapping and caching

Bioinformatics

2022/10/1

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer

Briefings in bioinformatics

2022/1

Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning

Nature communications

2021/10/13

NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks

Bioinformatics

2021/10/1

Rnpredatc: a deep residual learning-based model with applications to the prediction of drug-atc code association

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2021/6/10

A novel approach based on deep residual learning to predict drug’s anatomical therapeutic chemical code

2020/12/16

SACall: a neural network basecaller for Oxford Nanopore sequencing data based on self-attention mechanism

IEEE/ACM transactions on computational biology and bioinformatics

2020/11/19

See List of Professors in Peng Ni University(Central South University)

Co-Authors

academic-engine