Literature DB >> 34692911

Protocol for RNA-seq Expression Analysis in Yeast.

Stefan Bohn1.   

Abstract

Genome-wide sequencing of RNA (RNA-seq) has become an inexpensive tool to gain key insights into cellular and disease mechanisms. Sample preparation and sequencing are streamlined and allow the acquisition of hundreds of gene expression profiles in a few days; however, in particular, data processing, curation, and analysis involve numerous steps that can be overwhelming to non-experts. Here, the sample preparation, sequencing, and data processing workflow for RNA-seq expression analysis in yeast is described. While this protocol covers only a small portion of the RNA-seq landscape, the principal workflow common to such experiments is described, allowing the reader to adapt the protocol where necessary. Graphic abstract: Basic workflow of RNA-seq expression analysis.
Copyright © 2021 The Authors; exclusive licensee Bio-protocol LLC.

Entities:  

Keywords:  Next-generation sequencing; Relative expression levels; Sequence analysis; Systems biology; Whole genome; Yeast; mRNA

Year:  2021        PMID: 34692911      PMCID: PMC8481016          DOI: 10.21769/BioProtoc.4161

Source DB:  PubMed          Journal:  Bio Protoc        ISSN: 2331-8325


  18 in total

1.  Preparation of yeast RNA.

Authors:  M A Collart; S Oliviero
Journal:  Curr Protoc Mol Biol       Date:  2001-05

2.  Bioconda: sustainable and comprehensive software distribution for the life sciences.

Authors:  Björn Grüning; Ryan Dale; Andreas Sjödin; Brad A Chapman; Jillian Rowe; Christopher H Tomkins-Tinch; Renan Valieris; Johannes Köster
Journal:  Nat Methods       Date:  2018-07       Impact factor: 28.547

Review 3.  Long-read human genome sequencing and its applications.

Authors:  Glennis A Logsdon; Mitchell R Vollger; Evan E Eichler
Journal:  Nat Rev Genet       Date:  2020-06-05       Impact factor: 53.242

4.  Genetic interaction mapping informs integrative structure determination of protein complexes.

Authors:  Hannes Braberg; Ignacia Echeverria; Stefan Bohn; Peter Cimermancic; Anthony Shiver; Richard Alexander; Jiewei Xu; Michael Shales; Raghuvar Dronamraju; Shuangying Jiang; Gajendradhar Dwivedi; Derek Bogdanoff; Kaitlin K Chaung; Ruth Hüttenhain; Shuyi Wang; David Mavor; Riccardo Pellarin; Dina Schneidman; Joel S Bader; James S Fraser; John Morris; James E Haber; Brian D Strahl; Carol A Gross; Junbiao Dai; Jef D Boeke; Andrej Sali; Nevan J Krogan
Journal:  Science       Date:  2020-12-11       Impact factor: 47.728

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

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

6.  Integrative genomics viewer.

Authors:  James T Robinson; Helga Thorvaldsdóttir; Wendy Winckler; Mitchell Guttman; Eric S Lander; Gad Getz; Jill P Mesirov
Journal:  Nat Biotechnol       Date:  2011-01       Impact factor: 54.908

7.  Analysis of the prostate cancer cell line LNCaP transcriptome using a sequencing-by-synthesis approach.

Authors:  Matthew N Bainbridge; René L Warren; Martin Hirst; Tammy Romanuik; Thomas Zeng; Anne Go; Allen Delaney; Malachi Griffith; Matthew Hickenbotham; Vincent Magrini; Elaine R Mardis; Marianne D Sadar; Asim S Siddiqui; Marco A Marra; Steven J M Jones
Journal:  BMC Genomics       Date:  2006-09-29       Impact factor: 3.969

8.  Sequencing Medicago truncatula expressed sequenced tags using 454 Life Sciences technology.

Authors:  Foo Cheung; Brian J Haas; Susanne M D Goldberg; Gregory D May; Yongli Xiao; Christopher D Town
Journal:  BMC Genomics       Date:  2006-10-24       Impact factor: 3.969

Review 9.  A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications.

Authors:  Ashraful Haque; Jessica Engel; Sarah A Teichmann; Tapio Lönnberg
Journal:  Genome Med       Date:  2017-08-18       Impact factor: 11.117

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.