Search Results for "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.

...This approach increases the confidence in PTES supporting reads. Reads emanating from template-switching events are often characterised by large indels when aligned to the transcriptome. PTESFinder uses additional filters to exclude reads with ambiguous alignments around PTES exon-exon junctions, further increasing confidence in these supporting reads. PTESFinder identifies more PTES structures than other published methods whilst maintaining high specificity.

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.

...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. The method is based on SVM but other ML algorithms can be adopted. The method details are explained in the following paper: Ehsan Emadzadeh, Azadeh Nikfarjam, and Graciela Gonzalez. 2011. Double Layered Learning for Biological Event Extraction from Text. In Proceedings of the BioNLP 2011 Workshop Companion Volume for Shared Task, Portland, Oregon, June. ...

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.