4.6 Article

ggsashimi: Sashimi plot revised for browser- and annotation-independent splicing visualization

Journal

PLOS COMPUTATIONAL BIOLOGY
Volume 14, Issue 8, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1006360

Keywords

-

Funding

  1. La Caixa-Severo Ochoa pre-doctoral fellowship

Ask authors/readers for more resources

We present ggsashimi, a command-line tool for the visualization of splicing events across multiple samples. Given a specified genomic region, ggsashimi creates sashimi plots for individual RNA-seq experiments as well as aggregated plots for groups of experiments, a feature unique to this software. Compared to the existing versions of programs generating sashimi plots, it uses popular bioinformatics file formats, it is annotation-independent, and allows the visualization of splicing events even for large genomic regions by scaling down the genomic segments between splice sites. ggsashimi is freely available at https://github.com/guigolab/ggsashimi. It is implemented in python, and internally generates R code for plotting.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Anatomy & Morphology

Effect of BDNFVal66Met on hippocampal subfields volumes and compensatory interaction with APOE-ε4 in middle-age cognitively unimpaired individuals from the ALFA study

Natalia Vilor-Tejedor, Gregory Operto, Tavia E. Evans, Carles Falcon, Marta Crous-Bou, Carolina Minguillon, Raffaele Cacciaglia, Marta Mila-Aloma, Oriol Grau-Rivera, Marc Suarez-Calvet, Diego Garrido-Martin, Sebastian Moran, Manel Esteller, Hieab H. Adams, Jose Luis Molinuevo, Roderic Guigo, Juan Domingo Gispert

BRAIN STRUCTURE & FUNCTION (2020)

Article Biochemistry & Molecular Biology

A Quantitative Proteome Map of the Human Body

Lihua Jiang, Meng Wang, Shin Lin, Ruiqi Jian, Xiao Li, Joanne Chan, Guanlan Dong, Huaying Fang, Aaron E. Robinson, Michael P. Snyder

Article Biochemistry & Molecular Biology

GENCODE 2021

Adam Frankish, Mark Diekhans, Irwin Jungreis, Julien Lagarde, Jane E. Loveland, Jonathan M. Mudge, Cristina Sisu, James C. Wright, Joel Armstrong, If Barnes, Andrew Berry, Alexandra Bignell, Carles Boix, Silvia Carbonell Sala, Fiona Cunningham, Tomas Di Domenico, Sarah Donaldson, Ian T. Fiddes, Carlos Garcia Giron, Jose Manuel Gonzalez, Tiago Grego, Matthew Hardy, Thibaut Hourlier, Kevin L. Howe, Toby Hunt, Osagie G. Izuogu, Rory Johnson, Fergal J. Martin, Laura Martinez, Shamika Mohanan, Paul Muir, Fabio C. P. Navarro, Anne Parker, Baikang Pei, Fernando Pozo, Ferriol Calvet Riera, Magali Ruffier, Bianca M. Schmitt, Eloise Stapleton, Marie-Marthe Suner, Irina Sycheva, Barbara Uszczynska-Ratajczak, Maxim Y. Wolf, Jinuri Xu, Yucheng T. Yang, Andrew Yates, Daniel Zerbino, Yan Zhang, Jyoti S. Choudhary, Mark Gerstein, Roderic Guigo, Tim J. P. Hubbard, Manolis Kellis, Benedict Paten, Michael L. Tress, Paul Flicek

Summary: The GENCODE project annotates human and mouse genes and transcripts with high accuracy, using experimental data and bioinformatic tools, and continues to improve annotation infrastructure and tools for the human and mouse genomes. This includes manual annotation for the mouse reference genome, targeted improvements for SARS-CoV-2 related genes, collaborative projects for reference annotation databases, and the first GENCODE supervised automated annotation of lncRNAs.

NUCLEIC ACIDS RESEARCH (2021)

Article Multidisciplinary Sciences

Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome

Diego Garrido-Martin, Beatrice Borsari, Miquel Calvo, Ferran Reverter, Roderic Guigo

Summary: Alternative splicing is a fundamental step in eukaryotic mRNA biogenesis, and the comprehensive catalog of splicing QTLs in the human genome generated through analysis of the GTEx dataset provides insight into splicing regulation mechanisms and disease mechanisms.

NATURE COMMUNICATIONS (2021)

Article Biochemistry & Molecular Biology

Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Olivia M. de Goede, Daniel C. Nachun, Nicole M. Ferraro, Michael J. Gloudemans, Abhiram S. Rao, Craig Smail, Tiffany Y. Eulalio, Francois Aguet, Bernard Ng, Jishu Xu, Alvaro N. Barbeira, Stephane E. Castel, Sarah Kim-Hellmuth, YoSon Park, Alexandra J. Scott, Benjamin J. Strober, Christopher D. Brown, Xiaoquan Wen, Ira M. Hall, Alexis Battle, Tuuli Lappalainen, Hae Kyung Im, Kristin G. Ardlie, Sara Mostafavi, Thomas Quertermous, Karla Kirkegaard, Stephen B. Montgomery

Summary: This study systematically characterized 14,100 lncRNA genes across 49 tissues for 101 complex genetic traits using GTEx project data, identifying 1,432 lncRNA gene-trait associations, 800 of which were not explained by neighboring protein-coding genes. The findings revealed associations between lncRNA and various diseases and traits.
Article Biochemistry & Molecular Biology

The genomic basis of evolutionary differentiation among honey bees

Bertrand Fouks, Philipp Brand, Hung N. Nguyen, Jacob Herman, Francisco Camara, Daniel Ence, Darren E. Hagen, Katharina J. Hoff, Stefanie Nachweide, Lars Romoth, Kimberly K. O. Walden, Roderic Guigo, Mario Stanke, Giuseppe Narzisi, Mark Yandell, Hugh M. Robertson, Nikolaus Koeniger, Panuwan Chantawannakul, Michael C. Schatz, Kim C. Worley, Gene E. Robinson, Christine G. Elsik, Olav Rueppell

Summary: This study compared the genomes of three different subgenera of honey bees and revealed a complex gene regulation pattern and the role of positive selection in adaptive evolution among honey bee species.

GENOME RESEARCH (2021)

Article Multidisciplinary Sciences

Conserved long-range base pairings are associated with pre-mRNA processing of human genes

Svetlana Kalmykova, Marina Kalinina, Stepan Denisov, Alexey Mironov, Dmitry Skvortsov, Roderic Guigo, Dmitri Pervouchine

Summary: The ability of nucleic acids to form double-stranded structures is essential for all living systems, with long-range RNA structures containing conserved complementary regions abundant in human protein-coding genes. PCCRs, mainly located within introns, have a distinct splicing pattern and may affect splicing widely.

NATURE COMMUNICATIONS (2021)

Article Biochemistry & Molecular Biology

Enhancers with tissue-specific activity are enriched in intronic regions

Beatrice Borsari, Pablo Villegas-Miron, Silvia Perez-Lluch, Isabel Turpin, Hafid Laayouni, Alba Segarra-Casas, Jaume Bertranpetit, Roderic Guigo, Sandra Acosta

Summary: The study explored the correlation between the genomic location of active enhancers and tissue-specific gene expression, revealing that tissue-specific enhancers are enriched in intronic regions and control genes involved in tissue-specific functions. The results suggest that the genomic location of active enhancers is crucial for the tissue-specific control of gene expression, with the transition from developmental to adult stages showing a continuum of intergenic to intronic enhancers.

GENOME RESEARCH (2021)

Article Clinical Neurology

Perivascular spaces are associated with tau pathophysiology and synaptic dysfunction in early Alzheimer's continuum

Natalia Vilor-Tejedor, Iacopo Ciampa, Gregory Operto, Carles Falcon, Marc Suarez-Calvet, Marta Crous-Bou, Mahnaz Shekari, Eider M. Arenaza-Urquijo, Marta Mila-Aloma, Oriol Grau-Rivera, Carolina Minguillon, Gwendlyn Kollmorgen, Henrik Zetterberg, Kaj Blennow, Roderic Guigo, Jose Luis Molinuevo, Juan Domingo Gispert

Summary: This study found that in the asymptomatic stages of the Alzheimer's continuum, ePVS in the CS region is specifically associated with tau pathophysiology, neurodegeneration, and synaptic dysfunction, while there is no association with ePVS in the BG region.

ALZHEIMERS RESEARCH & THERAPY (2021)

Article Genetics & Heredity

Genetic Predisposition to Alzheimer's Disease Is Associated with Enlargement of Perivascular Spaces in Centrum Semiovale Region

Iacopo Ciampa, Gregory Operto, Carles Falcon, Carolina Minguillon, Manuel Castro de Moura, David Pineyro, Manel Esteller, Jose Luis Molinuevo, Roderic Guigo, Arcadi Navarro, Juan Gispert, Natalia Vilor-Tejedor

Summary: The study revealed a significant association between the BIN1-rs744373 polymorphism and ePVS in the centrum semiovale, showing increased risk for G allele carriers, particularly in APOE-epsilon 4 carriers. This suggests that genetic predisposition for Alzheimer's disease may influence the enlargement of perivascular spaces in the brain.

GENES (2021)

Article Genetics & Heredity

FA-nf: A Functional Annotation Pipeline for Proteins from Non-Model Organisms Implemented in Nextflow

Anna Vlasova, Toni Hermoso Pulido, Francisco Camara, Julia Ponomarenko, Roderic Guigo

Summary: Functional annotation is essential for enhancing the biological relevance of predicted features in genomic sequences, and improving gene structural annotation. The pipeline FA-nf, implemented in Nextflow, integrates various annotation approaches for producing multiple files and reports efficiently. It can be easily parallelized and deployed in a Linux computational environment, ensuring full reproducibility through software containerization.

GENES (2021)

Article Biotechnology & Applied Microbiology

A fast non-parametric test of association for multiple traits

Diego Garrido-Martin, Miquel Calvo, Ferran Reverter, Roderic Guigo

Summary: This article introduces an analysis method for multidimensional phenotypic data in large cohorts of genotyped individuals, which has high computational efficiency and significant judging ability, and performs well in QTL mapping and GWAS.

GENOME BIOLOGY (2023)

Article Biochemistry & Molecular Biology

Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!

Natalia Vilor-Tejedor, Diego Garrido-Martin, Blanca Rodriguez-Fernandez, Sander Lamballais, Roderic Guigo, Juan Domingo Gispert

Summary: Imaging genetic studies aim to investigate how genetic information influences brain structure and function by analyzing the correlation and association between genetic variants and brain measurements. While univariate approaches have been successful, the development and application of multivariate methods become crucial when dealing with multiple brain phenotypes and genetic data.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2021)

No Data Available