Welcome to Ma Lab

We are group of people dedicated to Bioinformatics research and service provision.

Projects

.all

CAFU

a bioinformatics framework for comprehensive assembly and functional annotation

BigData

Artificial intelligence (AI)-based Big-data analysis approaches and their applications

G2P

Bioinformatics approaches for genotype-to-phenotype mapping and their applications

DeepGS

Deep learning-based genomic selection

Epitranscriptome

Bioinformatics approaches for epitranscriptome analysis and their applications

KGBassembler

Karyotype-based genome assembly for Brassicaceae species

PEA

Plant epitranscriptome analysis

PEA-m5C

Machine learning-based m5C prediction

RAP

Gene prioritization for a pre-specific function

RSGCC

Gini-based transcriptiome analysis

miRLocator

mature miRNAs predictions from pre-miRNA sequences

mlDNA

Machine learning-based differential network analysis

Publications

More Publications

. CAFU: A Galaxy Framework for Exploring Unmapped RNA-Seq Data. Briefings in Bioinformatics, 2019.

DOI Code Webserver Docker PDF

. miRLocator: A Python Implementation and Web Server for Predicting miRNAs from Pre-miRNA Sequences. Plant MicroRNAs: Methods and Protocols, Methods in Molecular Biology, 2019.

Code PDF

. Hybrid Sequencing Reveals Insight into Heat Sensing and Signaling of Bread Wheat. Plant Journal, 2019.

DOI PubMed PDF

. A Deep Convolutional Neural Network Approach for Predicting Phenotypes from Genotypes. Planta, 2018.

PubMed PDF Preprint Code

. PEA: an Integrated R Toolkit for Plant Epitranscriptome Analysis. Bioinfomatics, 2018.

PubMed PDF Preprint Code

Contact

  • chuangma2006[at]gmail.com
  • The Ma Laboratory · School of Life Sciences ,
    Northwest A&F University , Yangling, Shaanxi, China
    中国 陕西杨凌 西北农林科技大学 生命科学学院39号信箱