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Determining the C-terminal amino acid of a peptide from MS/MS data
(Proteomass Scientific Society, 2013-12)
Proteomics is currently chiefly based on mass spectrometry (MS) which is the tool of choice to investigate proteins. Two computational approaches to derive the tandem mass spectrum precursor’s sequence are widely employed. ...
The expressed MicroRNA-mRNA interactions of Toxoplasma gondii
(Frontiers Media S.A., 2018-01)
MicroRNAs (miRNAs) are involved in post-transcriptional modulation of gene expression and thereby have a large influence on the resulting phenotype. We have previously shown that miRNAs may be involved in the communication ...
Transcriptomic analysis of boron hyperaccumulation mechanisms in Puccinellia distans
(Elsevier, 2018-05)
Puccinellia distans, common alkali grass, is found throughout the world and can survive in soils with boron concentrations that are lethal for other plant species. Indeed, P. distans accumulates very high levels of this ...
Label-free quantitation, an extension to 2DB
(Springer, 2010-04)
Determining the differential expression of proteins under different conditions is of major importance in proteomics. Since mass spectrometry-based proteomics is often used to quantify proteins, several labelling strategies ...
Development of EST-SSR markers for diversity and breeding studies in opium poppy
(Wiley-Blackwell, 2013-06)
All publicly available opium poppy expressed sequence tag (EST) sequences, totalling 20 885, were assembled into unigenes and examined for simple sequence repeats (SSRs). Nearly 19% of the 14 957 unigenes contained SSRs ...
Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins?
(Informationsmanagement in der Biotechnologie e.V., 2013)
Experimental detection and validation of miRNAs is a tedious, time-consuming, and expensive process. Computational methods for miRNA gene detection are being developed so that the number of candidates that need experimental ...
Visualization and analysis of miRNAs implicated in Amyotrophic Lateral Sclerosis within gene regulatory pathways
(2018)
MicroRNAs (miRNAs), approximately 22 nucleotides long, post-transcriptionally active gene expression regulators, play active roles in modulating cellular processes. Gene regulation and miRNA regulation are intertwined and ...
A machine learning approach for microRNA precursor prediction in retro-transcribing virus genomes
(Walter De Gruyter, 2016-12)
Identification of microRNA (miRNA) precursors has seen increased efforts in recent years. The difficulty in experimental detection of pre-miRNAs increased the usage of computational approaches. Most of these approaches ...
PGMiner reloaded, fully automated proteogenomic annotation tool linking genomes to proteomes
(De Gruyter, 2016)
Improvements in genome sequencing technology increased the availability of full genomes and transcriptomes of many organisms. However, the major benefit of massive parallel sequencing is to better understand the organization ...
On the performance of pre-microRNA detection algorithms
(Nature Publishing Group, 2017-12)
MicroRNAs are crucial for post-transcriptional gene regulation, and their dysregulation has been associated with diseases like cancer and, therefore, their analysis has become popular. The experimental discovery of miRNAs ...