Search Results for "resolution"

COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download

...Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives. 2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...) 3. Evaluate statistical distributions of internal variables: a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation) b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation) c. three variables correlations

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. The method is based on SVM but other ML algorithms can be adopted.

Life Science Identifier (LSID) resolution protocol, to locate biologically significant data over a network, within middle-ware providing a client A.P.I. for Life Science applications, and server software, for Industry data providers.