RT @YingStat: Liu et al. performed systematic comparative analysis of seven widely used SNV-calling methods, including SAMtools, the GATK,…
Liu et al. performed systematic comparative analysis of seven widely used SNV-calling methods, including SAMtools, the GATK, CTAT, FreeBayes, MuTect2, Strelka2, and VarScan2, on both simulated and real single-cell RNA-seq datasets. | Genome Biology https:/
RT @ivivek87: @tangming2005 https://t.co/wroN2hrxPA But my understand is most tools earlier available will suffice. Check this paper. 😊 ht…
@tangming2005 https://t.co/wroN2hrxPA But my understand is most tools earlier available will suffice. Check this paper. 😊 https://t.co/tsY62d7pEe However I would consult with variant analysis experts here .
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data https://t.co/hxtjFwvtqX
RT @slecrom: The first benchmarking study to evaluate the performances of SNV detection tools for scRNA-seq data : https://t.co/zBA0ToTCIS…
The first benchmarking study to evaluate the performances of SNV detection tools for scRNA-seq data : https://t.co/zBA0ToTCIS #RNAseq #SingleCell #SNV #Genomics https://t.co/ZwNMG3IUsg
Benchmarking of SNV calling methods for #scRNAseq data. #SingleCell https://t.co/oYBxXESRwd A useful little flowchart to help :) https://t.co/E4B3dmm2Bi
RT @LGMartelotto: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. - Pu…
RT @scell_papers: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. http…
RT @LGMartelotto: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. - Pu…
RT @scell_papers: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. http…
RT @LGMartelotto: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. - Pu…
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. - PubMed - NCBI https://t.co/JdZkwJ0W2N
RT @scell_papers: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. http…
RT @scell_papers: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. http…
RT @scell_papers: Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. http…
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. https://t.co/WsgFdcjm0t
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data. https://t.co/HH1pIjyKd0
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data https://t.co/1kfQZcu7UG https://t.co/DcR8RVHAgM
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
Systematic comparative analysis of single-nucleotide variant detection methods from single-cell RNA sequencing data https://t.co/F9Gi9stwK0
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
RT @GenomeBiology: Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRN…
Zemin Zhang and co provide the first benchmarking to evaluate the performances of different SNV detection tools for scRNA-seq data. The detection performances depend on the read depths, genomic contexts, functional regions, and variant allele frequencies.