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MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Bioinformatics, 2015-05, Vol.31 (10), p.1674-1676

2015

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A multi-task convolutional deep neural network for variant calling in single molecule sequencing

Nature communications, 2019-03, Vol.10 (1), p.998-11, Article 998

2019

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SOAP2: an improved ultrafast tool for short read alignment

Bioinformatics, 2009-08, Vol.25 (15), p.1966-1967

2009

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Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP

BMC bioinformatics, 2023-08, Vol.24 (1), p.308-21, Article 308

2023

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SOAP3: ultra-fast GPU-based parallel alignment tool for short reads

Bioinformatics (Oxford, England), 2012-03, Vol.28 (6), p.878-879

2012

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SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

Gigascience, 2012-12, Vol.1 (1), p.18-18, Article 18

2012

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Exploring the limit of using a deep neural network on pileup data for germline variant calling

Nature machine intelligence, 2020-04, Vol.2 (4), p.220-227

2020

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COPE: an accurate k-mer-based pair-end reads connection tool to facilitate genome assembly

Bioinformatics, 2012-11, Vol.28 (22), p.2870-2874

2012

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Detecting structural variations with precise breakpoints using low-depth WGS data from a single oxford nanopore MinION flowcell

Scientific reports, 2022-03, Vol.12 (1), p.4519-4519, Article 4519

2022

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SOAP3-dp: fast, accurate and sensitive GPU-based short read aligner

PloS one, 2013-05, Vol.8 (5), p.e65632

2013

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Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling

Scientific reports, 2023-03, Vol.13 (1), p.5237-10, Article 5237

2023

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MegaPath: sensitive and rapid pathogen detection using metagenomic NGS data

BMC genomics, 2020-12, Vol.21 (Suppl 6), p.500-500, Article 500

2020

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Scheduling with gaps: new models and algorithms

Journal of scheduling, 2021-08, Vol.24 (4), p.381-403

2021

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MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs

BMC bioinformatics, 2017-10, Vol.18 (Suppl 12), p.408-408, Article 408

2017

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MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices

Methods (San Diego, Calif.), 2016-06, Vol.102, p.3-11

2016

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Integrated modeling framework reveals co-regulation of transcription factors, miRNAs and lncRNAs on cardiac developmental dynamics

Stem cell research & therapy, 2023-09, Vol.14 (1), p.247-17, Article 247

2023

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Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma

Frontiers in cell and developmental biology, 2023-08, Vol.11, p.1224069-1224069

2023

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Building a Chinese pan-genome of 486 individuals

Communications biology, 2021-08, Vol.4 (1), p.1016-1016, Article 1016

2021

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Ultra-low-coverage genome-wide association study-insights into gestational age using 17,844 embryo samples with preimplantation genetic testing

Genome medicine, 2023-02, Vol.15 (1), p.10-10, Article 10

2023

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A simple and economical method for improving whole genome alignment

BMC genomics, 2017-05, Vol.18 (Suppl 4), p.362-362, Article 362

2017

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ECNano: A cost-effective workflow for target enrichment sequencing and accurate variant calling on 4800 clinically significant genes using a single MinION flowcell

BMC medical genomics, 2022-03, Vol.15 (1), p.43-14, Article 43

2022

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Identification of Cooperative Gene Regulation Among Transcription Factors, LncRNAs, and MicroRNAs in Diabetic Nephropathy Progression

Frontiers in genetics, 2020-09, Vol.11, p.1008-1008

2020

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SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads

Bioinformatics (Oxford, England), 2014-06, Vol.30 (12), p.1660-1666

2014

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RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature

Research in Computational Molecular Biology, 2019, Vol.11467, p.272-284

2019

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From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics

PloS one, 2015-07, Vol.10 (7), p.e0127612

2015

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MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

A multi-task convolutional deep neural network for variant calling in single molecule sequencing

SOAP2: an improved ultrafast tool for short read alignment

Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP

SOAP3: ultra-fast GPU-based parallel alignment tool for short reads

SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

Exploring the limit of using a deep neural network on pileup data for germline variant calling

COPE: an accurate k-mer-based pair-end reads connection tool to facilitate genome assembly

Detecting structural variations with precise breakpoints using low-depth WGS data from a single oxford nanopore MinION flowcell

SOAP3-dp: fast, accurate and sensitive GPU-based short read aligner

Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling

MegaPath: sensitive and rapid pathogen detection using metagenomic NGS data

Scheduling with gaps: new models and algorithms

MegaGTA: a sensitive and accurate metagenomic gene-targeted assembler using iterative de Bruijn graphs

MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices

Integrated modeling framework reveals co-regulation of transcription factors, miRNAs and lncRNAs on cardiac developmental dynamics

Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma

Building a Chinese pan-genome of 486 individuals

Ultra-low-coverage genome-wide association study-insights into gestational age using 17,844 embryo samples with preimplantation genetic testing

A simple and economical method for improving whole genome alignment

ECNano: A cost-effective workflow for target enrichment sequencing and accurate variant calling on 4800 clinically significant genes using a single MinION flowcell

Identification of Cooperative Gene Regulation Among Transcription Factors, LncRNAs, and MicroRNAs in Diabetic Nephropathy Progression

SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads

RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature

From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics

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