{"id":4032,"date":"2020-10-08T07:53:47","date_gmt":"2020-10-08T07:53:47","guid":{"rendered":"https:\/\/www.ukm.my\/inbiosis\/?page_id=4032"},"modified":"2026-03-04T14:54:03","modified_gmt":"2026-03-04T06:54:03","slug":"coda-metabolomics","status":"publish","type":"page","link":"https:\/\/www.ukm.my\/inbiosis\/en\/coda-metabolomics\/","title":{"rendered":"CODA – Metabolomics"},"content":{"rendered":"\n
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Metabolomics<\/strong> is a powerful approach that can provide diagnostic patterns via fingerprinting, absolute quantification of targeted metabolites via pool analysis and relative quantification of large portions of the metabolome using metabolite profiling. Each of these outputs is supported by the two most commonly used techniques, currently available at Chemical Analysis Laboratory, INBIOSIS; gas chromatography mass spectrometer (GC-MS) and liquid chromatography coupled to time of flight (ToF) mass spectrometer (LC-QToF-MS). <\/p>\n<\/div><\/div>\n\n\n\n

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Mass spectrometry (MS) based metabolomics techniques are the most sensitive for simultaneous analysis of a large number of compounds\/metabolites. However, researchers often encounter challenging downstream data analysis as the generated raw file formats can be diverse between service providers and MS instruments (either from Bruker, Thermo, Sciex, Agilent etc.) with a plethora of metabolomics analysis software to choose from. CODA-Metabolomics undertakes this endeavour by streamlining proven and meticulous data analysis workflow to provide statistical power to eliminate systematic bias, confidently identify compounds and explore significant findings.  <\/p>\n\n\n\n

GC-MS BASED METABOLOMICS AND DATA ANALYSIS WORKFLOW <\/strong><\/h3>\n\n\n\n
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METABOLOMICS WORKFLOW (LC-MS)<\/strong><\/h3>\n\n\n\n
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COMPOUND IDENTIFICATION<\/strong><\/h3>\n\n\n\n
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The compound identification is based on available library Massbank. The compound spectrum list report must provide data generate from AutoMSn<\/sup> that include the fragmentations. M\/z value from the LCMS data will be use in the search engine (MetFrag\/Massbank\/Metlin). Top 2 result will be listed in the final report.<\/p>\n<\/div><\/div>\n\n\n\n

ADVANCED DATA ANALYSIS<\/strong><\/h3>\n\n\n\n
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WHAT DO WE OFFER?<\/strong><\/h3>\n\n\n\n

Overview of services<\/strong><\/p>\n\n\n\n

Data analysis and bioinformatics<\/strong><\/td>\u2b9a     Software packages:
GC-MS
\u00b7         MS-DIAL, Met-IDEA, SpeedConnects, AMDIS for data alignment
\u00b7         MetaboAnalyst, SPSS for statistical analysis
\u00b7         SIMCA P+  for multivariate analysis
LC-TOF-MS
\u00b7        Compound identification from available database, Smartformula
\u00b7         Data pre-processing service using profile analysis
\u00b7         MetaboAnalyst, SPSS for statistical analysis
\u00b7         SIMCA P+ for multivariate analysis
\u00b7         Pathway mapping and biological interpretation<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

PRICING DETAILS<\/strong><\/h3>\n\n\n\n
TYPE OF DATA ANALYSIS<\/strong><\/td>CHARGES<\/strong><\/td><\/tr>
GC-MS data analysis<\/strong>
Data analysis including deconvolution and alignment 

Multivariate analysis (PCA, PLS-DA, OPLS-DA) using Simca P+
<\/td>		RM 200 \/ sample raw data*

RM 200 per hour<\/td><\/tr>
LC-MS data analysis<\/strong>
Multivariate analysis

For identification of 100 *compounds depending on complexity

Profile analysis for pre-processing data from raw data
#The raw data must be in .d format

For advanced analysis (biological interpretation\/pathway mapping) please contact PIC for more details. Price might varies depending on complexity of data<\/td>
RM 200 \/ jam


RM 2,000 \u2013
 

RM 200\/jam
 
 
Akan ditentukan
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ACHIEVEMENTS<\/strong><\/h3>\n\n\n
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        PERSON IN CHARGE<\/strong><\/h3>\n\n\n\n
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        ChM. Dr. Kamalrul Azlan Azizan<\/a><\/strong><\/p>\n\n\n\n

        Head of Quality Assurance \/ University Lecturer DS13<\/p>\n\n\n\n

        +603 8921 4572<\/p>\n\n\n\n

        kjkinbio@ukm.edu.my \/ kamalrulazlan@ukm.edu.my<\/p>\n\n\n\n

        Metabolomics<\/strong><\/p>\n<\/div><\/div>\n\n\n\n

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        Ts. Rafidah Ahmad<\/a><\/strong><\/p>\n\n\n\n

        Research Officer Q12<\/p>\n\n\n\n

        +603 8921 4566<\/p>\n\n\n\n

        fida.ahmad@ukm.edu.my<\/p>\n<\/div><\/div>\n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        Mass spectrometry (MS) based metabolomics techniques are the most sensitive for simultaneous analysis of a large number of compounds\/metabolites. However, researchers often encounter challenging downstream …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":33,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_lmt_disableupdate":"no","_lmt_disable":"no","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-4032","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/pages\/4032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/comments?post=4032"}],"version-history":[{"count":16,"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/pages\/4032\/revisions"}],"predecessor-version":[{"id":16233,"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/pages\/4032\/revisions\/16233"}],"wp:attachment":[{"href":"https:\/\/www.ukm.my\/inbiosis\/wp-json\/wp\/v2\/media?parent=4032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}