We are a proteome bioinformatics and mass spectrometry group headed by Mikhail (Mike) Gorshkov.
Since the early 2000s, the Gorshkov lab has been working in the field of liquid chromatography/mass spectrometry (LC-MS) for proteomics as well as development of bioinformatics software. Our main research focus today remains with mass-spectrometry-based proteome analysis, from instrumentation to algorithms and data analysis. We implement our developments into fundamental biology research, including proteogenomics, medicine and biotechnology.
Check Mikhail's Google Scholar profile.
- Mikhail V. Gorshkov, PhD (Google Scholar profile)
- Irina A. Tarasova, PhD (Google Scholar profile)
- Marina L. Pridatchenko, PhD (Google Scholar profile)
- Lev I. Levitsky (Google Scholar profile, Github profile)
- Anna A. Lobas, PhD (Google Scholar profile)
- Mark V. Ivanov, PhD (Google Scholar profile, Github profile)
- Julia A. Bubis, PhD (Google Scholar profile, Github profile)
- Elizaveta M. Solovyeva, PhD (Google Scholar profile, Github profile)
- Elizaveta M. Kazakova (Github profile)
- Daria D. Emekeeva (Github profile)
- Valeriy I. Postoenko (Github profile)
- Ivan I. Fedorov (Github profile)
- pyteomics - a Python library for proteomics data analysis [1], [2]
- IdentiPy and IdentiPy Server - a proteomic search engine with a web interface [3]
- Scavager - postsearch validation software using machine learning [4]
- ms1searchpy - a DirectMS1 proteomics search engine for LC-MS1 spectra [5], [6], [7]
- AA_stat - postsearch analysis and interpretation for open search results [8], [9]
- viQC - quality control of bottom-up proteomic experiments [10], [11]
- Biosaur2 - peptide MS feature detector [12]
- BioLCCC - a first-priciples theoretical model of peptide separation, suitable for RT prediction in any conditions [13], [14], [15], [16]
- QRePS - statistical analysis and selection of differentially regulated proteins using various metrics [17]
- Morley - digital plant morphometry and seed germination analysis [18]
- IQMMA - improved peptide-level LFQ by combining multiple feature detection algorithms [19]
- TPP_visualise - GUI for prediction of normalized melting curve behavior for different depths in protein-drug interactions
Email Mikhail Gorshkov at mike.gorshkov@gmail.com.