Search Results for "java events"

In addition to RPKM (Reads Per Kbp per Million reads) values, RACKJ computes read counts for exons and splicing events. In so doing, it is feasible to compare two samples and identify genes with most significant difference in exon(splicing)-level.

PTESFinder is a computational pipeline for identifying Post-transcriptional Exon Shuffling events from high-throughput RNAseq data. PTESFinder leverages the power of established RNASeq tools and systematically excludes all known classes of false positive structures by applying stringent filters designed to specifically target these false positives. PTESFinder compares alignment qualities of reads mapping to putative PTES structures with qualities of the same reads when mapped to genomic...

Biomedical Text Mining (BioTM) is providing valuable approaches to the automated curation of scientific literature.

PPICompare detects statistically significant rewiring events in protein-protein interaction networks - even if they are caused by alternative splicing - and reports plenty of information to that. The input data needs to be constructed with PPIXpress (see https://sourceforge.net/projects/ppixpress/). The original publication can be found on https://bmcsystbiol.biomedcentral.com/articles/10.1186/s12918-017-0400-x.

This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.

SeEvolution is the first application that lets you see the effects of mutation events on 3D models of chromosomes. It takes you on a journey through time, showing you the changes that are necessary to go from the genome of an organism to another.

Moved to: http://parkermills.github.io/phagetherapy/

Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired...