MiCId GUI: The Graphical User Interface for MiCId, a Fast Microorganism Classification and Identification Workflow with Accurate Statistics and High Recall-Reference-Cited by-同舟云学术

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

Published:2024-02-01 Issue:2 Volume:31 Page:175-178
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Ogurtsov Aleksey¹,Alves Gelio¹^ORCID,Rubio Alex¹,Joyce Brendan¹,Andersson Björn²,Karlsson Roger³⁴,Moore Edward R.B.³⁵,Yu Yi-Kuo¹

Affiliation:

1. National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

2. Bioinformatics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

3. Department of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

4. Nanoxis Consulting AB, Gothenburg, Sweden.

5. Culture Collection University of Gothenburg, Sahlgrenska Academy, University of Gothenburg, Sweden.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2023.0149

Reference11 articles.

1. Basic local alignment search tool

2. Identification of Antibiotic Resistance Proteins via MiCId’s Augmented Workflow. A Mass Spectrometry-Based Proteomics Approach

3. Molecular Isotopic Distribution Analysis (MIDAs) with Adjustable Mass Accuracy

4. RAId_DbS: Peptide Identification using Database Searches with Realistic Statistics

5. Rapid Classification and Identification of Multiple Microorganisms with Accurate Statistical Significance via High-Resolution Tandem Mass Spectrometry

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