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Sökning: id:"swepub:oai:gup.ub.gu.se/334940" > MiCId GUI: The Grap...

MiCId GUI: The Graphical User Interface for MiCId, a Fast Microorganism Classification and Identification Workflow with Accurate Statistics and High Recall

Ogurtsov, Aleksey (författare)
Alves, Gelio (författare)
Rubio, Alex (författare)
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Joyce, Brendan (författare)
Andersson, Björn, 1977 (författare)
Gothenburg University,Göteborgs universitet,Core Facilities, Bioinformatics,Core Facilities, Bioinformatics
Karlsson, Roger, 1975 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för infektionssjukdomar,Institute of Biomedicine, Department of Infectious Medicine
Moore, Edward R.B. 1954 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för infektionssjukdomar,Institute of Biomedicine, Department of Infectious Medicine
Yu, Yi-Kuo (författare)
visa färre...
 (creator_code:org_t)
2024
2024
Engelska.
Ingår i: JOURNAL OF COMPUTATIONAL BIOLOGY. - 1066-5277 .- 1557-8666. ; 31:2, s. 175-178
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Although many user-friendly workflows exist for identifications of peptides and proteins in mass-spectrometry-based proteomics, there is a need of easy to use, fast, and accurate workflows for identifications of microorganisms, antimicrobial resistant proteins, and biomass estimation. Identification of microorganisms is a computationally demanding task that requires querying thousands of MS/MS spectra in a database containing thousands to tens of thousands of microorganisms. Existing software can't handle such a task in a time efficient manner, taking hours to process a single MS/MS experiment. Another paramount factor to consider is the necessity of accurate statistical significance to properly control the proportion of false discoveries among the identified microorganisms, and antimicrobial-resistant proteins, and to provide robust biomass estimation. Recently, we have developed Microorganism Classification and Identification (MiCId) workflow that assigns accurate statistical significance to identified microorganisms, antimicrobial-resistant proteins, and biomass estimation. MiCId's workflow is also computationally efficient, taking about 6-17 minutes to process a tandem mass-spectrometry (MS/MS) experiment using computer resources that are available in most laptop and desktop computers, making it a portable workflow. To make data analysis accessible to a broader range of users, beyond users familiar with the Linux environment, we have developed a graphical user interface (GUI) for MiCId's workflow. The GUI brings to users all the functionality of MiCId's workflow in a friendly interface along with tools for data analysis, visualization, and to export results.

Ämnesord

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)

Nyckelord

antimicrobial-resistant proteins
biomass estimation
graphical user interface
mass-spectrometry-based proteomics
microorganism identification

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ref (ämneskategori)
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