전사체 어셈블리 가속화를 위한 K-mer 기반 RNA-seq 데이터 분산 방법

' 전사체 어셈블리 가속화를 위한 K-mer 기반 RNA-seq 데이터 분산 방법' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • De novo transcriptome assembly
  • Gene Family
  • K-mer
  • acc eleration
  • classification model
  • distribution
  • 가속화
  • 드노보 전사체 어셈블리
  • 분류 모델
  • 분산 환경
  • 유전자 패밀리
  • 케이머
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
567 0

0.0%

' 전사체 어셈블리 가속화를 위한 K-mer 기반 RNA-seq 데이터 분산 방법' 의 참고문헌

  • diBELLA: Distributed long read to long read alignment
  • Ultrafast clustering algorithms for metagenomic sequence analysis
    Weizhong Li [2012]
  • Trinity RNA-Seq assembler performance optimization
  • Trinity RNA-Seq assembler performance optimization
  • The impact of next-generation sequencing technology on genetics
  • The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools
    Lamesch P [2012]
  • Scalable De Novo Genome Assembly Using Pregel
    D. Yan [2018]
  • Perform ance Optimization for the Trinity RNA-Seq Assembler
  • Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study
  • NCBI SRA database(Arabidopsis Thaliana)
  • K-mer clustering algorithm using a MapReduce framework: application to the parallelization of the Inchworm module of Trinity
  • Gpu-accelerated large-scale genome assembly
  • GenomeQC: a quality assessment tool for genome assemblies and gene structure annotations
  • GenFam: A web application and database for gene family‐based classification and functional enrichment analysis
  • FAssem: FPGA based acceleration of de novo genome assembly
  • DeepFam:deep learning based alignment-free method for protein family modeling and prediction
    Seokjun Seo [2018]
  • De novo transcriptome assembly: A comprehensive cross-species comparison of short-read RNA-Seq assemblers
  • De novo transcriptome assembly and annotation for gene discovery in avocado, macadamia and mango
  • De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis
  • Alignment-free method for DNA sequence clustering using Fuzzy integral similarity