Sentence examples for alternative splicing variation from inspiring English sources

In recent years there has been growing evidence for extensive natural variations like SNPs to be the major contributor of alternative splicing variation in humans [ 41].

In addition, it provides a picture of the transcriptome, allowing the characterization of alternative splicing, variation in the usage of promoters and polyadenilation sites, non-coding RNAs (ncRNA), single nucleotide variants (SNVs) and transposable elements.

Exon microarray profiles for 555 samples from ten different cancer datasets and 93 samples from four normal tissue datasets (Table  1) were analyzed for genome-wide alternative splicing variation.

Importantly, these specific data sets and releases had been produced using almost exclusively traditional cDNA (EST, mRNA) resources, and therefore provide a fairly accurate assessment of the potential to discover novel alternative splicing variation in RNA-seq experiments.

Using a very large data set, our work provides a more detailed picture of alternative splicing variation and produces both an easy-to-use tool and a database that we believe will be valuable in studies of alternative splicing mechanism and function.

All three alternative splicing variations led to the insertion of premature stop codons in the transcripts.

Most of the alternative splicing variations are categorized as alternative donor/acceptor splice sites or unspliced introns.

We expect this value to be an overestimate, given that true small 5´ and 3´ exon alternative splicing variations are poorly represented in annotation databases.

Given that variations in alternative splicing patterns lead to a wide variety of downstream biological effects, our results provides further justification for investigations on alternative splicing variations in genetically segregating populations.

CGI-scripts that provide for web-browser based navigation of the results from the mining of alternative splicing variations, including data tables and images that provide illustrations of splicing graphs, localizations of splicing variations, and supporting transcript alignments.

EST assemblies generated using PASA (Program to Assemble Spliced Alignments) were shown to allow the automated modeling of novel genes and more than 1,000 alternative splicing variations, as well as updates (including UTR annotations) to nearly half of the ~27,000 annotated protein coding genes in the Arabidopsis genome [ 11].