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Түп нуска менен котормону катар окуу

Коомдук домендеги китептер жана ачык жеткиликтүү илимий макалалар, түп нускасы жана котормосу катарлаш. Ар бир котормону акысыз сынап көрүп, бир нече упайга жүктөп алууга болот.

Fitting Linear Mixed-Effects Models Using lme4

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

CC BY

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

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

CC BY 4.0

Trimmomatic: a flexible trimmer for Illumina sequence data

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

CC BY 3.0

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

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

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 · Англисче

CC BY 4.0

Highly accurate protein structure prediction with AlphaFold

Jumper J et al. · Nature · 2021 · Англисче

CC BY 4.0

Cutadapt removes adapter sequences from high-throughput sequencing reads

Marcel Martin · EMBnet journal · 2011 · Англисче

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

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

CC BY 4.0

The ERA5 global reanalysis

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

CC BY 4.0

Features and development of Coot

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

CC BY 2.0

lmerTest Package: Tests in Linear Mixed Effects Models

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

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MEGA11: Molecular Evolutionary Genetics Analysis Version 11

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

CC BY 4.0

Welcome to the Tidyverse

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

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

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

CC BY 2.0

WGCNA: an R package for weighted correlation network analysis

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

CC BY 2.0

Conducting Meta-Analyses in R with the metafor Package

Wolfgang Viechtbauer · Journal of Statistical Software · 2010 · Англисче

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 · Англисче

CC BY 3.0

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

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

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 · Англисче

CC BY 2.0

Rayyan-a web and mobile app for systematic reviews

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

CC BY 4.0

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

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

CC BY 4.0

BLAST+: architecture and applications

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

CC BY 2.0

Model-based analysis of ChIP-Seq (MACS)

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

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 · Англисче

CC BY 4.0

Түп нуска менен котормону катар окуу

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

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