Bioinformatics services

B Cell proteome
Web site for proteomics studies of B cell differentiation.
http://structure.bmc.lu.se/BcellProteome/

Bioinformatics benchmarks
Benchmark datasets available in bioinformatics. Collected by Lund University Protein Structure and Bioinformatics Group (LU PSB).
http://structure.bmc.lu.se/benchmark_datasets/index.php

MultiDisp
is a multiple sequence alignment visualization tool that can be used to show sequence properties in several ways. The visualization schemes include graphs for coloured and property charts, identity, similarity and divergence plots as well as visualizations based on physicochemical properties.
http://structure.bmc.lu.se//MultiDisp/index.html

PID classification
Systematic classification of primary immunodeficiencies based on clinical, pathological and laboratory parameters.
http://structure.bmc.lu.se/PID_classification/

PON-BTK is a method for classifying variations in the kinase domain of Bruton tyrosine kinase (BTK) related to X-linked agammaglobulinemia (XLA) to disease-causing and harmful.
http://structure.bmc.lu.se/PON-BTK/

PON-P2 is a machine learning-based approach to predict the pathogenicity of amino acid substitutions.
http://structure.bmc.lu.se/PON-P2/

PON-PS is a machine learning-based approach to predict the disease severity due to amino acid substitutions.
http://structure.bmc.lu.se/PON-PS/

PON-MMR2 predicts the pathogenicity of amino acid substitutions in mismatch repair (MMR) proteins (MLH1, MSH2, MSH6 and PMS2).
http://structure.bmc.lu.se/PON-MMR2/

PON-mt-tRNA is a multifactorial-probability method to predict the pathogenicity of single nucleotide substitutions in human mitochondrial tRNAs. It integrates a machine learning tool and evidence of segregation, biochemical and histochemical tests.
http://structure.bmc.lu.se/PON-mt-tRNA/

PON-Diso a machine learning based prediction method to predict changes in disorder regions contained in a protein, caused by amino acid substitutions.
http://structure.bmc.lu.se/PON-Diso/

PON-Sol is a two-step machine learning-based method to predict the impact of amino acid substitutions on protein solubility.
http://structure.bmc.lu.se/PON-Sol/

PPSC
Prediction of Protein Stability Changes is a structure-based method to predict the effects of missense variants on protein stability.
http://structure.bmc.lu.se/PPSC/

VariBench
is a benchmark database suite comprising variation datasets for testing and training methods for variation effect prediction.
http://structure.bmc.lu.se/VariBench/

VariSNP
is a benchmark database suite comprising variation datasets that can be used for developing and testing the performance of variant effect prediction tools.