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350 results for “Ribosome profiling”

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zenodo40/100

The ribosome profiling landscape of yeast reveals a high diversity in pervasive translation

<p>Additional files, Scripts and Data related to the manuscript Papadopoulos et al, The ribosome profiling landscape of yeast reveals a high diversity in pervasive translation.&nbsp;</p> <p>Additional file 1: contains supplemental figures and tables of the manuscript</p> <p>Additional file 2: contains the complete list of the 89 Ribo-Seq datasets (89 biological replicas).</p> <p>Papadopoulos_et_al_2024.tar.gz: contains the scripts, raw data, intermediate data and final (processed) data to reproduce the analyses, Figures, and Tables of the manuscript Papadopoulos et al, The ribosome profiling landscape of yeast reveals a high diversity in pervasive translation.&nbsp;</p> <p>The archive contains 3 directories:</p> <p>*** input: contains the protocols, raw data, and the associated intermediate processed data that are used as inputs of the scripts that perform the subsequent analyses and generate the Figures and Tables</p> <p><br>*** scripts: all the scripts necessary to perform the analyses of the manuscript and generate the final data, Figures and Tables available in the ./output directory</p> <p>*** output: contains the final processed data including the final lists and tables resulting from MSMS analyses or RiboSeq analyses, the final Figures and Tables of the manuscript &nbsp; &nbsp; as well as the 3 final tables that integrate the processed data from Ribo-Seq, MSMS, evolutionary analyses, sequence and structural analyses, final analyses on codon propensities. These 3 tables, beyond being necessary for the anlayses performed for this study can also be useful for users to realize their own analyses. All the data, Figures and Tables contained in this directory can be directly generated from the scripts available in the directory ./scripts and the data contained in the directory ./input. Please see the README in the different directories to reproduce everything.</p> <p>&nbsp;</p>

openmit-licenseSep 2024View details →
zenodo40/100

mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA gene

<p>mTAGs is a tool for the taxonomic profiling of metagenomes. It detects sequencing reads belonging to the small subunit of the ribosomal RNA (SSU-rRNA) gene and annotates them through the alignment to full-length degenerate consensus SSU-rRNA reference sequences. The tool is capable of processing single-end and pair-end metagenomic reads, takes advantage of the information contained in any region of the SSU-rRNA gene and provides relative abundance profiles at multiple taxonomic ranks (Domain, Phylum, Class, Order, Family, Genus and OTUs defined at a 97% sequence identity cutoff).</p>

opengpl-3.0-or-laterOct 2023View details →
dryad32/100

Data from: Ribosome profiling reveals pervasive and regulated stop codon readthrough in Drosophila melanogaster

Open the record for dataset details and reuse information.

publicOct 2014View details →
dryad32/100

Ribosome profiling reveals a functional role for autophagy in protein translational control

Open the record for dataset details and reuse information.

publicSep 2019View details →
dryad28/100

Data from: Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis

Deep sequencing of ribosome footprints (ribosome profiling) maps and quantifies mRNA translation. Because ribosomes decode mRNA every 3 nt, the periodic property of ribosome footprints could be used to identify novel translated ORFs. However, due to the limited resolution of existing methods, the 3-nt periodicity is observed mostly in a global analysis, but not in individual transcripts. Here, we report a protocol applied to Arabidopsis that maps over 90% of the footprints to the main reading frame and thus offers super-resolution profiles for individual transcripts to precisely define translated regions. The resulting data not only support many annotated and predicted noncanonical translation events but also uncover small ORFs in annotated noncoding RNAs and pseudogenes. A substantial number of these unannotated ORFs are evolutionarily conserved, and some produce stable proteins. Thus, our study provides a valuable resource for plant genomics and an efficient optimization strategy for ribosome profiling in other organisms.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Super-resolution ribosome profiling reveals unannotated translation events in Arabidopsis

Open the record for dataset details and reuse information.

publicSep 2017View details →
geo24/100

Ribosome profiling data obtained from HEK293T cells 30 minutes after treatment with arsenite to a final concentration of 40 µM

GEO Series GSE55195. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenJan 2015View details →
geo24/100

Proximity-specific ribosome profiling reveals the logic of localized mitochondrial translation

GEO Series GSE300977. Homo sapiens. 26 samples. Type: Other; Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

Decoding human cytomegalovirus using ribosome profiling

GEO Series GSE41605. Human betaherpesvirus 5. 16 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2012View details →
geo24/100

Ribosome profiling of HSV-1 infected cells

GEO Series GSE128322. Human alphaherpesvirus 1 strain 17; Homo sapiens. 10 samples. Type: Other.

openGEO-OpenApr 2020View details →
geo24/100

Humans and other commonly used model organisms are resistant to cycloheximide-mediated biases in ribosome profiling experiments

GEO Series GSE136940. Schizosaccharomyces pombe; Candida albicans; Homo sapiens; Saccharomyces cerevisiae. 33 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2021View details →
geo24/100

High resolution view of bacteriophage lambda gene expression by ribosome profiling

GEO Series GSE47509. Escherichia coli str. K-12 substr. MG1655. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2013View details →
geo24/100

Ribosome profiling reveals an important role for translational control in circadian gene expression

GEO Series GSE56924. Homo sapiens. 96 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenAug 2015View details →
geo24/100

Transcription Factor Substitution during the Evolution of Fungal Ribosome Regulation_expression profiling

GEO Series GSE10499. Candida albicans. 12 samples. Type: Expression profiling by array.

openGEO-OpenMar 2008View details →
geo24/100

Ribosome profiling reveals the rhythmic liver translatome and circadian clock regulation by upstream open reading frames

GEO Series GSE67305. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2015View details →
geo24/100

Ligation-Free Ribosome Profiling Reveals Cell Type-Specific Regulation of Protein Synthesis in the Brain

GEO Series GSE78163. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenJun 2016View details →
geo24/100

Testing conditions for ribosome profiling in Drosophila melanogaster

GEO Series GSE166408. Drosophila melanogaster. 5 samples. Type: Other.

openGEO-OpenJan 2022View details →
geo24/100

Ribosome profiling in DDX3X degron cell lines and complementation with sex-linked paralogs

GEO Series GSE180669. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenNov 2021View details →
geo24/100

Hippocampal neurons’ cytosolic and membrane-bound ribosomal transcript profiles are differentially regulated by learning and subsequent sleep

GEO Series GSE216163. Mus musculus. 180 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2022View details →
geo24/100

Translation Inhibitors Cause Abnormalities in Ribosome Profiling Experiments

GEO Series GSE59573. Saccharomyces cerevisiae. 24 samples. Type: Other.

openGEO-OpenAug 2014View details →

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