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Эх бичвэр ба орчуулгыг зэрэгцүүлэн уншаарай

Нийтийн өмч болсон ном болон нээлттэй хандалттай эрдэм шинжилгээний өгүүллүүд, эх бичвэр ба орчуулга зэрэгцсэн хэлбэрээр. Орчуулга бүрээс үнэгүй уншиж танилцах боломжтой бөгөөд цөөн кредит зарцуулан татаж авах боломжтой.

Fitting Linear Mixed-Effects Models Using lme4

Douglas M. Bates et al. · Journal of Statistical Software · 2015 · Англи

CC BY

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Love MI et al. · Genome biology · 2014 · Англи

CC BY 4.0

Trimmomatic: a flexible trimmer for Illumina sequence data

Bolger AM et al. · Bioinformatics (Oxford, England) · 2014 · Англи

CC BY 3.0

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

Moher D et al. · PLoS medicine · 2009 · Англи

CC BY 4.0

A new criterion for assessing discriminant validity in variance-based structural equation modeling

Jörg Henseler et al. · Journal of the Academy of Marketing Science · 2014 · Англи

CC BY 4.0

Highly accurate protein structure prediction with AlphaFold

Jumper J et al. · Nature · 2021 · Англи

CC BY 4.0

Cutadapt removes adapter sequences from high-throughput sequencing reads

Marcel Martin · EMBnet journal · 2011 · Англи

CC BY

limma powers differential expression analyses for RNA-sequencing and microarray studies

Ritchie ME et al. · Nucleic acids research · 2015 · Англи

CC BY 4.0

The ERA5 global reanalysis

Hans Hersbach et al. · Quarterly Journal of the Royal Meteorological Society · 2020 · Англи

CC BY 4.0

Features and development of Coot

Emsley P et al. · Acta crystallographica. Section D, Biological crystallography · 2010 · Англи

CC BY 2.0

lmerTest Package: Tests in Linear Mixed Effects Models

Alexandra Kuznetsova et al. · Journal of Statistical Software · 2017 · Англи

CC BY

MEGA11: Molecular Evolutionary Genetics Analysis Version 11

Tamura K et al. · Molecular biology and evolution · 2021 · Англи

CC BY 4.0

Welcome to the Tidyverse

Hadley Wickham et al. · The Journal of Open Source Software · 2019 · Англи

CC BY

PHENIX: a comprehensive Python-based system for macromolecular structure solution

Adams PD et al. · Acta crystallographica. Section D, Biological crystallography · 2010 · Англи

CC BY 2.0

WGCNA: an R package for weighted correlation network analysis

Langfelder P, Horvath S · BMC bioinformatics · 2008 · Англи

CC BY 2.0

Conducting Meta-Analyses in R with the metafor Package

Wolfgang Viechtbauer · Journal of Statistical Software · 2010 · Англи

CC BY

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · Англи

CC BY 3.0

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Langmead B et al. · Genome biology · 2009 · Англи

CC BY 2.0

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Li B, Dewey CN · BMC bioinformatics · 2011 · Англи

CC BY 2.0

Rayyan-a web and mobile app for systematic reviews

Ouzzani M et al. · Systematic reviews · 2016 · Англи

CC BY 4.0

HTSeq--a Python framework to work with high-throughput sequencing data

Anders S et al. · Bioinformatics (Oxford, England) · 2015 · Англи

CC BY 4.0

BLAST+: architecture and applications

Camacho C et al. · BMC bioinformatics · 2009 · Англи

CC BY 2.0

Model-based analysis of ChIP-Seq (MACS)

Zhang Y et al. · Genome biology · 2008 · Англи

CC BY 2.0

Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

Moher D et al. · Systematic reviews · 2015 · Англи

CC BY 4.0

Эх бичвэр ба орчуулгыг зэрэгцүүлэн уншаарай

Fitting Linear Mixed-Effects Models Using lme4

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

Trimmomatic: a flexible trimmer for Illumina sequence data

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

A new criterion for assessing discriminant validity in variance-based structural equation modeling

Highly accurate protein structure prediction with AlphaFold

Cutadapt removes adapter sequences from high-throughput sequencing reads

limma powers differential expression analyses for RNA-sequencing and microarray studies

The ERA5 global reanalysis

Features and development of Coot

lmerTest Package: Tests in Linear Mixed Effects Models

MEGA11: Molecular Evolutionary Genetics Analysis Version 11

Welcome to the Tidyverse

PHENIX: a comprehensive Python-based system for macromolecular structure solution

WGCNA: an R package for weighted correlation network analysis

Conducting Meta-Analyses in R with the metafor Package

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Rayyan-a web and mobile app for systematic reviews

HTSeq--a Python framework to work with high-throughput sequencing data

BLAST+: architecture and applications

Model-based analysis of ChIP-Seq (MACS)

Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

Хэрхэн унших вэ

Үнэгүй уншиж үзэх

Кредитээр татах

Орчуулгын асуудлыг мэдээлэх

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