TAPAS: tools to assist the targeted protein quantification of human alternative splice variants is a research paper published in Bioinformatics (2014). On theSindex it has a DataRank of 0.123. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Abstract Motivation: In proteomes of higher eukaryotes, many alternative splice variants can only be detected by their shared peptides. This makes it highly challenging to use peptide-centric mass spectrometry to distinguish and to quantify protein isoforms resulting from alternative splicing events. Results: We have developed two complementary algorithms based on linear mathematical models to efficiently compute a minimal set of shared and unique peptides needed to quantify a set of isoforms and splice variants. Further, we developed a statistical method to estimate the splice variant abundances based on stable isotope labeled peptide quantities. The algorithms and databases are integrated in a web-based tool, and we have experimentally tested the limits of our quantification method using spiked proteins and cell extracts. Availability and implementation: The TAPAS server is available at URL http://davinci.crg.es/tapas/ . Contact: [email protected] or [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0190
From 1 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 85% comes from its base citations and 15% from the citation network (1 citing paper contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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