rna bioinformatics trang 4 tải miễn phí từ TAILIEUCHUNG

"rna bioinformatics" trang 4 - tải miễn phí từ Tailieuchung

ASGAL: Aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events

ASGAL: Aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events

21 41 1

Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency

Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency

15 78 1

DrImpute: Imputing dropout events in single cell RNA sequencing data

DrImpute: Imputing dropout events in single cell RNA sequencing data

10 56 1

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 45 1

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 34 1

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 44 1

Characterization and visualization of RNA secondary structure Boltzmann ensemble via information theory

Characterization and visualization of RNA secondary structure Boltzmann ensemble via information theory

10 50 1

Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution

Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution

12 50 1

An interpretable framework for clustering single-cell RNA-Seq datasets

An interpretable framework for clustering single-cell RNA-Seq datasets

12 37 1

Approximate inference of gene regulatory network models from RNA-Seq time series data

Approximate inference of gene regulatory network models from RNA-Seq time series data

12 36 1

Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi

Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi

12 40 1

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

15 63 1

LCS-TA to identify similar fragments in RNA 3D structures

LCS-TA to identify similar fragments in RNA 3D structures

13 37 1

TRAVeLer: A tool for template-based RNA secondary structure visualization

TRAVeLer: A tool for template-based RNA secondary structure visualization

10 41 1

Cache and energy efficient algorithms for Nussinov’s RNA Folding

Cache and energy efficient algorithms for Nussinov’s RNA Folding

16 47 1

A deep learning method for lincRNA detection using auto-encoder algorithm

A deep learning method for lincRNA detection using auto-encoder algorithm

9 52 1

CORNAS: Coverage-dependent RNA-Seq analysis of gene expression data without biological replicates

CORNAS: Coverage-dependent RNA-Seq analysis of gene expression data without biological replicates

11 65 1

Tuning iteration space slicing based tiled multi-core code implementing Nussinov’s RNA folding

Tuning iteration space slicing based tiled multi-core code implementing Nussinov’s RNA folding

12 44 1

XBSeq2: A fast and accurate quantification of differential expression and differential polyadenylation

XBSeq2: A fast and accurate quantification of differential expression and differential polyadenylation

9 46 1

QNB: Differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model

QNB: Differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model

12 57 1

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