"sequencing data" trang 11 - tải miễn phí từ tailieuXANH
RainDrop: Rapid activation matrix computation for droplet-based single-cell RNA-seq reads

RainDrop: Rapid activation matrix computation for droplet-based single-cell RNA-seq reads
14    58    0
A robust nonlinear low-dimensional manifold for single cell RNA-seq data

A robust nonlinear low-dimensional manifold for single cell RNA-seq data
15    80    0
ScTyper: A comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data

ScTyper: A comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data
8    68    0
RACS: Rapid analysis of ChIP-Seq data for contig based genomes

RACS: Rapid analysis of ChIP-Seq data for contig based genomes
17    58    0
Illumina error correction near highly repetitive DNA regions improves de novo genome assembly

Illumina error correction near highly repetitive DNA regions improves de novo genome assembly
13    185    0
Polymorphic edge detection (PED): Two efficient methods of polymorphism detection from next-generation sequencing data

Polymorphic edge detection (PED): Two efficient methods of polymorphism detection from next-generation sequencing data
12    69    0
RESCUE: Imputing dropout events in singlecell RNA-sequencing data

RESCUE: Imputing dropout events in singlecell RNA-sequencing data
11    58    0
An integrated package for bisulfite DNA methylation data analysis with Indelsensitive mapping

An integrated package for bisulfite DNA methylation data analysis with Indelsensitive mapping
11    59    0
Isma: An R package for the integrative analysis of mutations detected by multiple pipelines

Isma: An R package for the integrative analysis of mutations detected by multiple pipelines
9    61    0
VarGenius executes cohort-level DNA-seq variant calling and annotation and allows to manage the resulting data through a PostgreSQL database

VarGenius executes cohort-level DNA-seq variant calling and annotation and allows to manage the resulting data through a PostgreSQL database
14    66    0
Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons

Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons
13    69    0
Benchmarking differential expression analysis tools for RNA-Seq: Normalization-based vs. log-ratio transformation-based methods

Benchmarking differential expression analysis tools for RNA-Seq: Normalization-based vs. log-ratio transformation-based methods
15    71    0
Matataki: An ultrafast mRNA quantification method for large-scale reanalysis of RNASeq data

Matataki: An ultrafast mRNA quantification method for large-scale reanalysis of RNASeq data
9    63    0
XenofilteR: Computational deconvolution of mouse and human reads in tumor xenograft sequence data

XenofilteR: Computational deconvolution of mouse and human reads in tumor xenograft sequence data
15    188    0
A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection

A randomized approach to speed up the analysis of large-scale read-count data in the application of CNV detection
11    65    0
Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing

Alignment-free clustering of large data sets of unannotated protein conserved regions using minhashing
18    59    0
An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data

An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data
23    65    0
Ioncopy: An R Shiny app to call copy number alterations in targeted NGS data

Ioncopy: An R Shiny app to call copy number alterations in targeted NGS data
4    53    0
A sensitive short read homology search tool for paired-end read sequencing data

A sensitive short read homology search tool for paired-end read sequencing data
13    73    0
Mutation status coupled with RNAsequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer

Mutation status coupled with RNAsequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer
11    64    0
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