XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data (Q89467094)

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5 April 2020

title

XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data (English)

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5 April 2020

1

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5 April 2020

Jonathan R Belyeu

2

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5 April 2020

Jeffrey T Morgan

3

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5 April 2020

Yeyun Ouyang

4

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5 April 2020

Alex J Bott

5

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5 April 2020

author name string

Aaron R Quinlan

6

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5 April 2020

Jason Gertz

7

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5 April 2020

Jared Rutter

8

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5 April 2020

publication date

31 January 2020

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PLOS Computational Biology

5 April 2020

published in

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5 April 2020

volume

16

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5 April 2020

issue

1

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5 April 2020

page(s)

e1007625

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Creative Commons Attribution 4.0 International

5 April 2020

copyright license

start time

31 January 2020

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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describes a project that uses

Jupyter notebook file

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DESeq2

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CZ Software Mentions: A large dataset of software mentions in the biomedical literature

cites work

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Mutations in TKT Are the Cause of a Syndrome Including Short Stature, Developmental Delay, and Congenital Heart Defects

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Ribonuclease selection for ribosome profiling

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Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions

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Inhibition of the integrated stress response reverses cognitive deficits after traumatic brain injury

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Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution

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Structure of the nucleotide exchange factor eIF2B reveals mechanism of memory-enhancing molecule

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Small molecule ISRIB suppresses the integrated stress response within a defined window of activation

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High-Resolution Ribosome Profiling Defines Discrete Ribosome Elongation States and Translational Regulation during Cellular Stress

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Generally applicable transcriptome-wide analysis of translation using anota2seq

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Aligning the Aligners: Comparison of RNA Sequencing Data Alignment and Gene Expression Quantification Tools for Clinical Breast Cancer Research

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12 December 2020

10.1371/JOURNAL.PCBI.1007625

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32004313 AND SRC:MED&resulttype=core&format=json

journals/ploscb/BergBMOBQGR20

5 April 2020

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:32004313 AND SRC:MED&resulttype=core&format=json

5 April 2020

PubMed publication ID

32004313

1 reference