Search results
Results from the WOW.Com Content Network
Mascot is a software search engine that uses mass spectrometry data to identify proteins from peptide sequence databases. [ 1 ] [ 2 ] Mascot is widely used by research facilities around the world. Mascot uses a probabilistic scoring algorithm for protein identification that was adapted from the MOWSE algorithm.
This automated quantitative Data-independent acquisition-proteomics software, developed by the Demichev and Ralser labs at the Charité in Berlin, Germany, implements a machine-learning algorithm based on an ensemble of deep neural networks, to boost proteomic depth and reliability of peptide and protein identification. DIA-NN is optimized for ...
The MOWSE algorithm was developed by Darryl Pappin at the Imperial Cancer Research Fund and Alan Bleasby at the SERC Daresbury Laboratory. [2] The probability-based MOWSE score formed the basis of development of Mascot, a proprietary software for protein identification from mass spectrometry data.
This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
The mass spectrum serves as a fingerprint in the sense that it is a pattern that can serve to identify the protein. [1] The method for forming a peptide-mass fingerprint, developed in 1993, consists of isolating a protein, breaking it down into individual peptides, and determining the masses of the peptides through some form of mass ...
Automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences Eukaryotes [1] FragGeneScan: Predicting genes in complete genomes and sequencing Reads: Prokaryotes, Metagenomes [2] ATGpr: Identifies translational initiation sites in cDNA sequences: Human [3] Prodigal
Systematic Protein Investigative Research Environment (SPIRE) provides web-based experiment-specific mass spectrometry (MS) proteomics analysis in order to identify proteins and peptides, and label-free expression and relative expression analyses. SPIRE provides a web-interface and generates results in both interactive and simple data formats.
The "fingerprint" of each peptide's fragmentation mass spectrum is used to identify the protein from which they derive by searching against a sequence database with commercially available software (e.g. Sequest or Mascot). [9] Examples of sequence databases are the Genpept database or the PIR database. [12]