News & Highlights: Hutchinson-Gilford progeria syndrome (HGPS) is a rare and fatal disease characterized by premature aging. In their recent collaboration, YRC researcher John Yates and collaborator Juan Carlos Izpisua Belmonte found induced pluripotent stem cells from HGPS patients lacked molecular characteristics associated with the disease, which were restored upon differentiation. See their paper in Nature to learn more. [Read Article]
News & Highlights: YRC researcher Stan Fields used the model organism Saccharomyces cerevisiae to probe the effects of nutritionally acquired metabolites on statins, a cholesterol-lowering drug widely prescribed to prevent heart disease. He found that copper and zinc ions impair the effect of statins by upregulating genes related to sterol production. Please read his paper in Molecular BioSystems to learn more. [Read Article]
News & Highlights: YRC researchers David Baker and Stan Fields have developed new technology for examining how a protein's sequence affects its function. This new technology is large-scale and may be applied to many in vitro or in vivo protein assays, providing a general means for studying the functional consequences of protein variation. Please read their paper in Nature Methods to learn more. [Read Article]
News & Highlights: The YRC collaborated with Sue Biggins at the Fred Hutchinson Cancer Research Center in Seattle to examine centromeres, whose proper function is critical to prevent conditions associated with cancer and some birth defects. This work, performed in yeast, was recently published in Molecular Cell, where Dr. Biggins proposes a new pathway for the regulation of centromeric function. [Read Article]
News & Highlights: Multidimensional protein identification technology (MudPIT) developed by the YRC was used in a recent collaboration with David Drubin at the University of California, Berkeley, to examine the assembly of actin networks in yeast. In his recent paper in Current Biology, Dr. Drubin describes the nucleation and assembly of these large protein complexes, and how MudPIT was used to characterize their composition. [Read Article]

Software

Below is a list of software developed in the YRC.
Currently only showing highlighted software. Show all software.
Currently showing all software. Show only highlighted software.

Mass Spectrometry

BiblioSpec

A suite of software tools for creating and searching MS/MS peptide spectrum libraries. The software is particularly useful for those performing repeated proteomics profiling experiments on the same organism. After the identity of a peptide spectrum has been determined, this information can be used to speed and improve all future analyses.

Bullseye

Bullseye takes high resolution accurate masses from full scan spectra and matches these masses to tandem MS scan events. The MS/MS spectra can then be database searched with a narrow precursor ion mass to reduce database search space and improve peptide sequence identification.

Census

Quantitative Analysis Tool for both labeling and labeling free analysis. Visit Census web page for more info.

Charge Prediction Machine (CPM)

Charge Prediction Machine: Tool for Inferring Precursor Charge States of Low Resolution.

Crux

Crux analyzes shotgun proteomics tandem mass spectra, associating peptides with observed spectra.

DFCalc

Biological mass spectrometry need not be limited to peptides, of course. DFCalc is software designed to assist the interpretation of tandem mass spectra from DNA molecules. The program predicts the fragment ions for known sequences, producing a list to be compared against a spectrum.

DTASelect / Contrast

DTASelect and Contrast were designed to make interpretation and comparison of proteomic data faster and more effective. DTASelect organizes and filters SEQUEST identifications, reducing the time required to interpret the results for each sample. Contrast differentiates multiple samples and comprises a powerful meta-analytical tool.

GutenTag

GutenTag is software to identify peptides by the sequence tagging technique. SEQUEST searches a sequence database by mass, but GutenTag searches with short sequences derived directly from the spectrum.

Hardklor

A computer program for the analysis of high resolution mass spectrometry data. Hardklor will return monoisotopic m/z and charge states for single or overlapping peptide/protein isotope distributions.

IDCalc

An implementation of the method reported by Kubinyi, Analytica Chimica Acta, 247 (1991) 107-119 for the prediction of isotope distributions.

Lorikeet

Lorikeet is a JQuery plugin to view MS/MS spectra annotated with fragment ions. The viewer is interactive with zoom capabilities, selection of fragment types, switching annotations on and off etc. The plugin can, optionally, also render a MS1 spectrum below the MS/MS spectrum. Lorikeet uses the Flot plotting library.

MakeMS2

A windows client program used to produce compact and easily parsed text based file formats for shotgun proteomic spectra and indentifications.

MScout

MScout is a program that we have used for assessing LC-MS data quality.

Mzxml2msn

Mzxml2msn is a Java program we developed to convert mzXML to ms1 and ms2 files. Although our ProLuCID and Census can handle mzXML files, we prefer to use ms2 and ms1 files for computational effeciency.

NoDupe

NoDupe identifies similarity among uninterpreted tandem mass spectra. Optionally, the program can remove duplicate copies of spectra.

PAnDA

An acronym for Post Analysis Data Acquisition. PAnDA uses the Hardklor feature finder to define the molecular species in an LC-MS analysis and then uses this information to automatically construct new methods to specifically target features that were missed in subsequent analyses. PAnDA is particularly powerful when running technical and biological replicates to increase the fraction of the features that can be assigned a peptide identity.

PatternLab

Provides tools for analyzing shotgun proteomic data quantitated by spectral counting (with DTASelect) or labeling (with Census). The modules provide means to point differentialy expressed proteins / peptides (ACFold / TFold modules), find proteins with simmilar expression profiles in time-course experiments (TrendQuest module), find unique proteins to a state (Area proportional venn diagram module) and help interpreting results according to the Gene Ontology (Gene Ontology Explorer module). Minimum requirements: a computer with Windows XP SP2.

Percolator

A semi-supervised machine learning approach for improving the analysis of tandem mass spectrometry data of peptides. Percolator uses a machine learning technique call a support vector machine to dynamically discriminate between correct and decoy spectrum identifications obtained by database searching. By using our approach, we are able to identify approximately 50% more peptides from a given μLC-MS/MS dataset.

ProLuCID

ProLuCID is a fast and sensitive tandem mass spectra-based protein identification program recently developed in the Yates laboratory at The Scripps Research Institute.

QCorr

The QCorr algorithm compares a tandem mass spectrum to a reversed copy of the same spectrum using a cross correlation.

RawExtractor

RawExtractor is a program to extract MS and MS/MS spectra from RAW files generated by Thermo mass spectrometers, such as LTQ, LTQ-Orbitrap, LCQ, and stores the spectra in ms1, ms2 or mzXML file format. The spectra files generated by RawExtractor program are used as input for protein identification programs SEQUEST, ProLuCID and quantitatation program Census.

RelEx

Quantitative Analysis Tool. Visit RelEx web page for more info.

SEQUEST

A method for performing protein identification & peptide sequencing by utilizing mass spectrometry fragmentation patterns to search protein and nucleotide databases has been developed by our lab Our program, SEQUEST, converts the character-based representation of amino acid sequences in a protein database to fragmentation patterns which are compared against the MS/MS spectrum generated on the target peptide. The algorithm initally identifies amino acid sequences in the database that match the measured mass of the peptide, compares fragment ions against the MS/MS spectrum, and generates a preliminary score for each amino acid sequence. A cross correlation analysis is then performed on the top 500 preliminary scoring peptides by correlating theoretical, reconstructed spectra against the experimental spectrum. Output results are displayed accordingly.

Skyline

An advanced windows program for building methods and analyzing data from SRM/MRM targeted proteomics experiments. New release of v0.5 and several videos demonstrating the capabilities and how to use the software.

Topograph

Topograph is an advanced program for the analysis of proteomics data using stable isotope labeling. This software is still in the early stages of development. Improvements are added regularly.

YADA

YADA can deisotope and decharge high-resolution mass spectra from large peptide molecules, link the precursor monoisotopic peak information to the corresponding tandem mass spectrum, and account for different co-fragmenting ion species (multiplexed spectra). YADA also enables a pipeline consisting of ProLuCID and DTASelect for analyzing large-scale middle-down proteomics data.

Protein Structure Prediction

Philius

Philius uses Hidden Markov Models (HMM) to predict transmembrane protein topology and signal peptide position.

Rosetta

Rosetta is a molecular modeling software package for understanding protein structures, protein design, protein docking, protein-DNA and protein-protein interactions. The Rosetta software contains multiple functional modules, including Rosetta ab initio, RosettaNMR, RosettaDesign, RosettaDock, Rosetta Fragment Selection, Rosetta Nucleic Acids, RosettaLigand, and more.

Fluorescence Microscopy

FRETSCAL

FRETSCAL screens images of cells that contain CFP and YFP tagged proteins in order to determine the extent of energy transfer(FRET)between the two fluorophores. The graphical user interface (GUI) of FRETSCAL allows the user to specify criteria that are used to identify areas of interest (AOIs) in the images.

Computational Biology

qvality

qvality performs nonparametric estimation of posterior error probabilities.