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Federico Abascal

dblp:39/2810 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 2015
0000-0002-6201-1587ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5 · 5 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
4 papers
Bioinformatics and computational biology · 92% Computational science and engineering · 8%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics
alternative splicing analysis
0.212015
Alternative splicing and co-option of transposable elements: the case of TMPO/LAP2α and ZNF451 in mammals · Bioinform. 2015
Bioinformatics and computational biology
comparative genomics
0.212015
Alternative splicing and co-option of transposable elements: the case of TMPO/LAP2α and ZNF451 in mammals · Bioinform. 2015
Bioinformatics and computational biology › gene regulation
regulatory genomics
0.112008
ChIPCodis: mining complex regulatory systems in yeast by concurrent enrichment analysis of chip-on-chip data · Bioinform. 2008
Computational science and engineering
model selection
0.112005
ProtTest: selection of best-fit models of protein evolution · Bioinform. 2005
Bioinformatics and computational biology
phylogenetics
0.112005
ProtTest: selection of best-fit models of protein evolution · Bioinform. 2005
Bioinformatics and computational biology › protein sequence analysis › protein family analysis
protein family identification
0.012002
Clustering of proximal sequence space for the identification of protein families · Bioinform. 2002

Methods — techniques the papers use, named apart from their topics

sequence similarity analysis · 0.2phylogenetic analysis · 0.2over-representation analysis · 0.1model selection criteria · 0.1pairwise sequence comparison · 0.0ncut algorithm · 0.0
YearPublicationVenuePosition
2015 Alternative splicing and co-option of transposable elements: the case of TMPO/LAP2α and ZNF451 in mammals
abstract
Transposable elements constitute a large fraction of vertebrate genomes and, during evolution, may be co-opted for new functions. Exonization of transposable elements inserted within or close to host genes is one possible way to generate new genes, and alternative splicing of the new exons may represent an intermediate step in this process. The genes TMPO and ZNF451 are present in all vertebrate lineages. Although they are not evolutionarily related, mammalian TMPO and ZNF451 do have something in common-they both code for splice isoforms that contain LAP2alpha domains. We found that these LAP2alpha domains have sequence similarity to repetitive sequences in non-mammalian genomes, which are in turn related to the first ORF from a DIRS1-like retrotransposon. This retrotransposon domestication happened separately and resulted in proteins that combine retrotransposon and host protein domains. The alternative splicing of the retrotransposed sequence allowed the production of both the new and the untouched original isoforms, which may have contributed to the success of the colonization process. The LAP2alpha-specific isoform of TMPO (LAP2α) has been co-opted for important roles in the cell, whereas the ZNF451 LAP2alpha isoform is evolving under strong purifying selection but remains uncharacterized.
Federico Abascal, Michael L. Tress, Alfonso Valencia
Bioinform.1
2015 Alternatively Spliced Homologous Exons Have Ancient Origins and Are Highly Expressed at the Protein Level
abstract
Alternative splicing of messenger RNA can generate a wide variety of mature RNA transcripts, and these transcripts may produce protein isoforms with diverse cellular functions. While there is much supporting evidence for the expression of alternative transcripts, the same is not true for the alternatively spliced protein products. Large-scale mass spectroscopy experiments have identified evidence of alternative splicing at the protein level, but with conflicting results. Here we carried out a rigorous analysis of the peptide evidence from eight large-scale proteomics experiments to assess the scale of alternative splicing that is detectable by high-resolution mass spectroscopy. We find fewer splice events than would be expected: we identified peptides for almost 64% of human protein coding genes, but detected just 282 splice events. This data suggests that most genes have a single dominant isoform at the protein level. Many of the alternative isoforms that we could identify were only subtly different from the main splice isoform. Very few of the splice events identified at the protein level disrupted functional domains, in stark contrast to the two thirds of splice events annotated in the human genome that would lead to the loss or damage of functional domains. The most striking result was that more than 20% of the splice isoforms we identified were generated by substituting one homologous exon for another. This is significantly more than would be expected from the frequency of these events in the genome. These homologous exon substitution events were remarkably conserved--all the homologous exons we identified evolved over 460 million years ago--and eight of the fourteen tissue-specific splice isoforms we identified were generated from homologous exons. The combination of proteomics evidence, ancient origin and tissue-specific splicing indicates that isoforms generated from homologous exons may have important cellular roles.
Federico Abascal, Iakes Ezkurdia, Juan Rodriguez-Rivas, Angela del Pozo, Jesús Vázquez, Alfonso Valencia, Michael L. Tress
PLoS Comput. Biol.1
2008 ChIPCodis: mining complex regulatory systems in yeast by concurrent enrichment analysis of chip-on-chip data
abstract
MOTIVATION: Eukaryotic genes are often regulated by multiple transcription factors (TFs). Depending on the interactions among different TFs the expression of a gene can be tuned to respond to diverse environmental conditions. Chip-on-chip experiments provide a snapshot of which TF are in vivo bound to which genes in a particular condition, and have been applied to characterize the regulatory code of yeast under several experimental settings. ChIPCodis mines this data to provide new insights about how the expression of a particular group of genes is regulated. For a given list of yeast genes ChIPCodis determines which combinations of TFs are significantly over-represented in a series of environmental conditions. AVAILABILITY: http://chipcodis.dacya.ucm.es
Federico Abascal, Pedro Carmona-Saez, José María Carazo, Alberto D. Pascual-Montano
Bioinform.1
2005 ProtTest: selection of best-fit models of protein evolution
abstract
SUMMARY: Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. AVAILABILITY: ProtTest is available under the GNU license from http://darwin.uvigo.es
Federico Abascal, Rafael Zardoya, David Posada
Bioinform.1
2002 Clustering of proximal sequence space for the identification of protein families
abstract
MOTIVATION: The study of sequence space, and the deciphering of the structure of protein families and subfamilies, has up to now been required for work in comparative genomics and for the prediction of protein function. With the emergence of structural proteomics projects, it is becoming increasingly important to be able to select protein targets for structural studies that will appropriately cover the space of protein sequences, functions and genomic distribution. These problems are the motivation for the development of methods for clustering protein sequences and building families of potentially orthologous sequences, such as those proposed here. RESULTS: First we developed a clustering strategy (Ncut algorithm) capable of forming groups of related sequences by assessing their pairwise relationships. The results presented for the ras super-family of proteins are similar to those produced by other clustering methods, but without the need for clustering the full sequence space. The Ncut clusters are then used as the input to a process of reconstruction of groups with equilibrated genomic composition formed by closely-related sequences. The results of applying this technique to the data set used in the construction of the COG database are very similar to those derived by the human experts responsible for this database. AVAILABILITY: The analysis of different systems, including the COG equivalent 21 genomes are available at http://www.pdg.cnb.uam.es/GenoClustering.html.
Federico Abascal, Alfonso Valencia
Bioinform.1