Data Set Downloads - mauriceling/mauriceling.github.io GitHub Wiki

[80] SR_Reproducibility_Transparency.xlsx

[79] Quinoa_SR.xlsx

Data set for Burhanudin, N, Cheng, KW, Aw, C, Lee, LC, Low, MT, Ng, HT, Ong, P, Tan, BKH, Ling, MHT. 2024. A 10-Year Systematic Review (1 January 2014 to 1 January 2024) on the Potential Health Benefits of Quinoa. Medicon Medical Sciences 7(1): 32-49.

[78] Moringa_oleifera_SR.xlsx

Data set for Cheng, KW, Aw, C, Lee, LC, Low, MT, Burhanudin, N, Ng, HT, Ong, P, Tan, BKH, Ling, MHT. 2024. A 5-Year Systematic Review (1 November 2019 to 31 October 2023) on the Benefits of the “Miracle Tree” (Moringa oleifera). Acta Scientific Medical Sciences 8{8): 108-119.

[77] Oil_Data.xlsx

Data set for Chen, YT, Ling, MHT, Yang, H, Cai, MH, Koh, RW, Tan, RYH, Xue, X. 2024. Predicting Peroxide Value of Peanut Oil using Machine Learning Models. Acta Scientific Nutritional Health 8(7): 116-122.

[76] Multiple Supplementation from Wild.zip

Data set for Ganesh, VV, Kumaran, V, King, JE, Kiatfuangfung, P, Seah, ZX, Ling, MHT. 2024. Simulation Suggests that Repeated Supplementations from the Wild into Captive Population Reduce but Cannot Eliminate Inbreeding. Acta Scientific Agriculture 8(8): 31-35.

[75] ODE_vs_PNet.zip

Data set for Low, KKM, Ling, MHT. 2024. ODE Versus Petri Net Implementation of Identical SEIRS Model. Acta Scientific Medical Sciences 8(6): 100-104.

[74] Emergence_of_Pathways.zip

Data set for Teo, W, Kwan ZJ, Lum, AKY, Ng, SMH, Ling, MHT. 2024. Independent Genic-Encoded Enzymatic Reactions May Randomly Link into Multi-Step Biochemical Pathways in the Absence of Large Cell Selective Pressure. EC Microbiology 20(2): 01-07.

[73] Core_Genome_Deinococcota_Supplementary_Materials.pdf and Core_Genome_Deinococcota.zip

Data set for Lum, AKY, Shanmugam, JH, Teo, W, Kwan ZJ, Ng, SMH, Ling, MHT. 2024. Core Genome of Deinococcota Phylum from 72 Strains Across 40 Species Consist of Only One Gene, Beta Subunit of DNA-Directed RNA Polymerase. Medicon Microbiology 3(1): 03-06.

[72] pbmKZJ23.zip

Data set for Kwan, ZJ, Teo, W, Lum, AKY, Ng, SMH, Ling, MHT. 2024. Ab Initio Whole Cell Kinetic Model of Stutzerimonas balearica DSM 6083 (pbmKZJ23). Acta Scientific Microbiology 7(2): 28-31.

[71] Diet_Migraine.xlsx

Data set for Seow, SK, Dave, VS, Ong, RT, Lao, S, Ling, MHT. 2024. A 10-Year Systematic Review (2013 to 2022) on Effects of Diet on Migraine. EC Clinical and Medical Case Reports 7(2): 01-15.

[70] Breakfast_SchoolPerformance.xlsx

Data set for Ong, RT, Lao, S, Seow, SK, Dave, VS, Ling, MHT. 2024. Systematic Review of PubMed Articles Prior to 2023 on Effects of Breakfast on School Performance. Medicon Medical Sciences 6(1): 11-25.

[69] SubstanceUseModel_Supplementary_Materials.pdf and SubstanceUseModel.zip

Data set for Yap, SSK, Choy, WJ, Tan, RYH, Ling, MHT. 2024. Assembly of Single Substance Use Epidemiological Models. Acta Scientific Medical Sciences 8(1): 43-50.

[68] Food_GutMicrobiome_MentalHealth.xlsx

Data set for Lao, S, Seow, SK, Ong, RT, Dave, VS, Ling, MHT. 2024. Systematic Review on the Effects of Food on Mental Health via Gut Microbiome. SciMedicine Journal 5(2): 81-91.

[67] ConnectomeCEL.zip

Data set for Chia, VSQ, Ling, MHT. 2023. Potential Information Processing Differences in Male and Hermaphrodite Neural Networks of Caenorhabditis elegans. Medicon Medical Sciences 5(2): 53-59.

[66] Saccharomyces_arboricola_H-6.zip

Data set for Roh, D, Naing, SY, Ling, MHT. 2023. Peptide Properties of Saccharomyces arboricola H-6 Suggest Randomness in Chromosomal Organization. EC Microbiology 19(3): 01-08.

[65] iND750_vs_iMM904.zip

Data set for Wong, KM, Sim, BJH, Ling, MHT. 2023. Consistency Between Saccharomyces cerevisiae S288C Genome Scale Models (iND750 and iMM904). Acta Scientific Microbiology 6(3): 63-68.

[64] ChemBot_1.zip (2023)

Data set for Ling, MHT, Musttakim, S, Lau, PN. 2023. Development of a Basic Chemistry Conversational Corpus. Acta Scientific Nutritional Health 7(2): 48-54.

[63] MD_Preventing_AD.xlsx (2023)

Data set for Azan, NK, Ng, ASY, Samsudi, F, Mazlan, MR, Loh, YK, Ling, MHT. 2023. A 5-Year Systematic Review (2018 to 2022) on The Effectiveness of Mediterranean Diet in Preventing Alzheimer’s Disease. Acta Scientific Nutritional Health 7(2): 79-90.

[62] Causes_of_Abdominal_Obesity.xlsx (2023)

Data set for Ng, ASY, Azan, NK, Samsudi, F, Mazlan, MR, Loh, YK, Ling, MHT. 2023. A 5-Year Systematic Review (01 April 2017 to 31 March 2022) on the Causes of Abdominal Obesity. EC Clinical and Medical Case Reports 6(1): 90-110.

[61] Admixture_Populations.zip (2023)

Data set for Naing, SY, Thia, EWJ, Roh, D, Chew, C, Tun, SK, Wai, MK, Ling, MHT. 2023. Novel Populations from Simulated Admixed Populations. Medicon Medical Sciences 4(1): 9-15.

[60] brainopy_1.zip (2022)

Data set for Tan, JZH, Tan, NTF Tan, Ling, MHT. 2022. Brainopy: A Biologically Relevant SQLite-Based Artificial Neural Network Library. Acta Scientific Computer Sciences 4(12): 13-22.

[59] Nucleotide and Peptide Phylogenetic Trees.xlsx (2022)

Data set for oh, BJK, Kannan, KSS, Patil, T, Vij, R, Ling, MHT. 2022. Inconsistent Phylogenetic Trees from Nucleotide or Amino Acid Sequences from Mammalian Mitochondrial Genomes. EC Clinical and Medical Case Reports 5(7): 03-09.

[58] iMM904_Overproduction.zip (2022)

Data set for Sim, BJH, Wong, KM, Ling, MHT. 2022. Metabolite Overproduction Potential of Saccharomyces cerevisiae S288C Explored Using Its Genome-Scale Metabolic Model, iMM904. EC Microbiology 18(7): 46-51.

[57] Environment to Intracellular Metabolites Supplementary Materials.pdf and Environment to Intracellular Metabolites Simulation Scripts.zip (2022)

Data set for Kannan, KSS, Patil, T, Vij, R, Loh, BJK, Ling, MHT. 2022. Nutrient Availability Impacts Intracellular Metabolic Profiles in Digital Organisms. Acta Scientific Microbiology 5(6): 18-25.

[56] Relapse in Drug Epidemic Model.zip (2022)

Data set for Tang, AY, Ling, MHT. 2022. Relapse Processes are Important in Modelling Drug Epidemic. Acta Scientific Medical Sciences 6(6): 177-182.

[55] Reactome-Phenome iJN678.zip (2022)

Data set for Wee, YY, Kng, X, Sor, SX, Ling, MHT. 2022. Genome-Scale Metabolic Model-Based Reactome-Phenome Map of Synechocystis sp. PCC 6803, A Potential Biofuel Producer. Medicon Microbiology 1 (4): 02-08.

[54] eDNA_systematic_scoping_review.xlsx (2022)

Data set for Sor, SX, Wee, YY, Kng, X, Ling, MHT. 2022. A Systematic Scoping Review on the Current Applications of Environmental DNA (eDNA). EC Clinical and Medical Case Reports 5(4): 46-64.

[53] GCN_vs_PPI.zip (2022)

Data set for Chua, MTE, Dumanglas, ABG, Ling, MHT. 2022. Gene Co-Expressions Cannot Predict Protein-Protein Interactions in Escherichia coli. EC Microbiology 18(3): 102-109.

[52] ComparativeReviewECO_GSMs.zip (2022)

Data set for Tan, FL, Kuan, ZJ, Amir-Hamzah, N, Kng, X, Wee, YY, Sor, SX, Ling, MHT. 2022. Significant Differences in Media Components and Predicted Growth Rates of 58 Escherichia coli Genome-scale Models. Acta Scientific Microbiology 5(2): 56-68.

[51] GSM_to_KM.zip (2022)

Data set for Kuan, ZJ, Amir-Hamzah, N, Ling, MHT. 2022. Kinetic Models with Default Enzyme Kinetics from Genome-scale Models. Acta Scientific Computer Sciences 4(1): 59-63.

[50] Python Chatbot Engine Review Supplementary Materials.docx and Python Chatbot Engine Review.zip (2021)

Data set for Sim, KS, Ling, MHT. 2021. Installation and Documentation Evaluation of Recent (01 January 2020 to 15 February 2021) Chatbot Engines from Python Package Index (PyPI). Acta Scientific Computer Sciences 3(8): 38-43.

[49] Gradual_Sudden_Environmental_Adaptation.zip (2021)

Data set for Ang, DGY, Ling, MHT. 2021. Sudden and Steep Harsh Environment Results in Over-Compensation in Digital Organisms. EC Microbiology 17(7): 104-113.

[48] Simple_Supplementation_from_Wild.zip (2021)

Data set for Johny, A, Sumedha, PR, Ling, MHT. 2021. Simulation Suggests that One-Off Simple Supplementation from the Wild into Captive Population May Not Increase Captive Genetic Diversity. EC Veterinary Science 6(7): 107-111.

[47] Chromosomes_Features_Supplementary_Materials.pdf, ChromosomesFeatures.zip.001, ChromosomesFeatures.zip.002, and ChromosomesFeatures.zip.003 (2021)

Data set for Lim, GZK, Azmi, HH, Dolmatova, M, Ling, MHT. 2021. Significant Differences in Nucleotide and Peptide Features Between Chromosomes Suggesting Sequence Non-Randomness Across Chromosomes. Acta Scientific Microbiology 4(4): 23-28.

[46] Statistics_in_Publications.xlsx (2021)

Data set for Kim, KD, Chua, SCH, Ling, MHT. 2021. Science/Education Portraits VII: Statistical Methods Used in 1081 Papers Published in Year 2020 Across 12 Life Science Journals Under BioMed Central. Acta Scientific Nutritional Health 5(3): 06-12.

[45] UniKin1_to_ecoJC20.zip (2021)

Data set for Cho, JL, Ling, MHT. 2021. Adaptation of Whole Cell Kinetic Model Template, UniKin1, to Escherichia coli Whole Cell Kinetic Model, ecoJC20. EC Microbiology 17(2): 254-260.

[44] CorePoales.zip (2021)

Data set for Kuan, ZJ, Ling, MHT, 2021. Core Genome of Poales, An Economically Important Order of Monocotyledons. EC Agriculture 7(2): 24-29.

[43] Stop codons Escherichia coli.zip (2021)

Data set for Chua, SCH, Ling, MHT. 2021. Stop Codon Usage Varies on CDS Length, Nucleotide Compositions, and Peptide Instability in Six Escherichia coli Strains. EC Clinical and Medical Case Reports 4(2): 39-46.

[42] ClassifyHadamard.zip (2020)

Data set for Ling, MHT. 2020. Low Classification Accuracy by Logistic Regression, Support Vector Classifier, and Multi-Layer Perceptron, but Not Decision Tree, on Random Attributes from Hadamard Matrix. EC Clinical and Medical Case Reports 3(12): 07-10.

[41] PMGS.zip (2020)

Data set for Teo, YH, Ling, MHT. 2020. A Systematic Review on the Sufficiency of PubMed and Google Scholar for Biosciences. Acta Scientific Medical Sciences 4(12): 03-08.

[40] CambrianExplosion.xlsx (2020)

Data set for Chew, SSM, Murthy, MV, Kamarudin, NJ, Wang, VCC, Tan, XT, Ramesh, A, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. Rapid Genetic Diversity with Variability between Replicated Digital Organism Simulations and its Implications on Cambrian Explosion. EC Clinical and Medical Case Reports 3(11): 64-68.

[39] AdvanceSynToolkit.zip (2020)

Data set for Ling MHT. 2020. AdvanceSyn Toolkit: An Open-Source Suite for Model Development and Analysis in Biological Engineering. MOJ Proteomics & Bioinformatics 9(4):83‒86.

[38] UniKin1.zip (2020)

Data set for Murthy, MV, Balan, D, Kamarudin, NJ, Wang, VCC, Tan, XT, Ramesh, A, Chew, SSM, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. UniKin1: A Universal, Non-Species-Specific Whole Cell Kinetic Model. Acta Scientific Microbiology 3(10): 04-08.

[37] DiprotodontiaMitochondria.zip (2020)

Data set for Wang, VCC, Kamarudin, NJ, Tan, XT, Ramesh, A, Chew, SSM, Murthy, MV, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. A Case Study using Mitochondrial Genomes of the Order Diprotodontia (Australasian Marsupials) Suggests that Single Ortholog is Not Sufficient for Phylogeny. EC Clinical and Medical Case Reports 3(9): 93-114.

[36] GeneticDriftA.zip (2020)

Data set for Kamarudin, NJ, Wang, VCC, Tan, XT, Ramesh, A, Chew, SSM, Murthy, MV, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. A Simulation Study on the Effects of Founding Population Size and Number of Alleles Per Locus on the Observed Population Genetic Profile: Implications to Broodstock Management. EC Veterinary Science 5(8): 176-180.

[35] CorePseudomonas.zip (2020)

Data set for Tan, XT, Ramesh, A, Wang, VCC W, Kamarudin, NJ, Chew, SSM, Murthy, MV, Yablochkin, NV, Mathivanan, K, Ling, MHT. 2020. Core Pseudomonas Genome From 10 Pseudomonas Species. MOJ Proteomics & Bioinformatics 9(3): 68‒71.

[34] ECO_PutativeBetaLactamases.zip (2020)

Gunalan, K, Wong, CQL, Neo, MPY, Ling, MHT. 2020. One Percent of Escherichia coli O157:H7 Peptides May Contain Putative Beta-Lactamase Activity. EC Microbiology 16(8): 73-79.

[33] RandomORF.zip (2020)

Data set for Neo, CY, Ling, MHT. 2020. Prevalence and Length of Open Reading Frames Vary Across Randomly Generated Sequences of Different Nucleotide Compositions. EC Microbiology 16(7): 72-78.

[32] SkinControls.xlsx (2020)

Data set for Teng, RSY, Kwang, JCY, Chin, ASQ, Sander, CJ, Ang, IZL, Foong, JH, Cheong, KC, Hon, RYH, Ling, MHT. 2020. Correlation Analysis on Transcriptomes from Published Human Skin Studies Show Variations between Control Samples. EC Clinical and Medical Case Reports 3(6): 143-146.

[31] DeNovo_PBMpromoter.zip (2019)

Data set for Usman, S, Chua, JW, Ardhanari-Shanmugam, KD, Thong-Ek C, B, V, Shahrukh, K, Woo, JH, Kwek, BZN, Ling, MHT. 2019. Pseudomonas balearica DSM 6083T promoters can potentially originate from random sequences. MOJ Proteomics & Bioinformatics 8(2): 66‒70.

[30] DeNovo_BSUpromoter.zip (2019)

Data set for Ardhanari-Shanmugam, KD, Shahrukh, K, B, V, Woo, JH, Thong-Ek, C, Usman, S, Kwek, BZN, Chua, JW, Ling, MHT. 2019. De Novo Origination of Bacillus subtilis 168 Promoters from Random Sequences. Acta Scientific Microbiology 2(11): 07-10.

[29] ECO_Monod.xlsx (2019)

Data set or Chang, ED, Ling, MHT. 2019. Explaining Monod in Terms of Escherichia coli Metabolism. Acta Scientific Microbiology 2(9): 66-71.

[28] DeNovo_Beta-lactamase.zip (2019)

Data set for Kwek, BZN, Ardhanari-Shanmugam, KD, Woo, JH, Usman, S, Chua, JW, B, V, Shahrukh, K, Thong-Ek, C, Ling, MHT. 2019. Random Sequences May Have Putative Beta-Lactamase Properties. Acta Scientific Medical Sciences 3(7): 113-117.

[27] DeNovo_G1PDH.zip (2019)

Data set for Thong-Ek, C, Usman, S, Woo, JH, Chua, JW, Kwek, BZN, Ardhanari-Shanmugam, KD, B, V, Shahrukh, K, Ling, MHT. 2019. Potential De Novo Origins of Archaebacterial Glycerol-1-Phosphate Dehydrogenase (G1PDH). Acta Scientific Microbiology 2(6): 106-110.

[26] Pseudomonas-balearica.xlsx (2019)

Data set for Maitra, A, Ling, MHT. 2019. Codon Usage Bias and Peptide Properties of Pseudomonas balearica DSM 6083T. MOJ Proteomics & Bioinformatics 8(2):27‒39.

[25] DeNovoProteinDomains.zip (2019)

Data set for Ling, MHT. 2019. De Novo Putative Protein Domains from Random Peptides. Acta Scientific Microbiology 2(4): 109-112.

[24] GO_KO_Pstutzeri.zip

Data set for Lim, JX, Ling, MHT. 2019. Gene Ontology and KEGG Orthology Mappings for 10 Strains of Pseudomonas stutzeri. EC Proteomics and Bioinformatics 3(1): 12-18.

[23] COPADS-IV.xlsx (2015)

Data set for Ling, MHT. 2016. COPADS IV: Fixed Time-Step ODE Solvers for a System of Equations Implemented as a Set of Python Functions. Advances in Computer Science: an international journal 5(3): 5-11.

[22] resistance_gc_cost.xlsx (2015)

Data set for Castillo, CFG, Chay ZE, Ling, MHT. 2015. Resistance Maintained in Digital Organisms Despite Guanine/Cytosine-Based Fitness Cost and Extended De-Selection: Implications to Microbial Antibiotics Resistance. MOJ Proteomics & Bioinformatics 2(2): 00039.

[21] resistance_no_cost.xlsx (2014)

Data set for Castillo, CFG, Ling, MHT. 2014. Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance. BioMed Research International 2014, Article ID 648389.

[20] migration_heterozygosity.zip (2014)

Data set for Castillo, CFG, Ling, MHT. 2014. Digital Organism Simulation Environment (DOSE): A Library for Ecologically-Based In Silico Experimental Evolution. Advances in Computer Science: an International Journal 3(1): 44-50.

[19] OLIVER_1.zip (2014)

Executable for OLIgonucleotide Variable Expression Ranker (OLIVER) version 1 - Chan, OYW, Keng, BMH, Ling, MHT. 2014. Correlation and Variation Based Method for Reference Genes Identification from Large Datasets. Electronic Physician 6(1): 719-727. The codes are incorporated into Bactome source code repository.

[18] COPADS-III.zip (2013)

Source codes and test codes for Chen, KFQ, Ling, MHT. 2013. COPADS III (Compendium of Distributions II): Cauchy, Cosine, Exponential, Hypergeometric, Logarithmic, Semicircular, Triangular, and Weibull. The Python Papers Source Codes 5:2. These codes are also found in COPADS source code repository.

[17] Spermophilus-Liver-Datasets.xlsx (2013)

Data set for Keng, BMH, Chan, OYW, Heng, SSJ, Ling, MHT. 2013. Transcriptome Analysis of Spermophilus lateralis and Spermophilus tridecemlineatus Liver Does Not Suggest the Presence of Spermophilus-liver-specific Reference Genes. ISRN Bioinformatics 2013, Article ID 361321.

[16] GSE41409 (2013)

Microarray dataset for Ling, MHT, Ban, Y, Wen, H, Wang, SM, Ge, SX. 2013. Conserved Expression of Natural Antisense Transcripts in Mammals. BMC Genomics 14(1): 243.

[15] 3media.xlsx (2013)

Data set for Low, SXZ, Aw, ZQ, Loo, BZL, Lee, KC, Oon, JSH, Lee, CH, Ling, MHT. Viability of Escherichia coli ATCC 8739 in Nutrient Broth, Luria-Bertani Broth and Brain Heart Infusion over 11 Weeks. Electronic Physician 5:576-581.

[14] ECO-halophilization.zip (2013)

Data set for halophilization project: How, JA, Lim, JZR, Goh, DJW, NG, WC, Oon, JSH, Lee, KC, Lee, CH, Ling, MHT. 2013. Adaptation of Escherichia coli ATCC 8739 to 11% NaCl. Dataset Papers in Biology 2013, Article ID 219095. The analysis for this project is found in Goh, DJW, How, JA, Lim, JZR, NG, WC, Oon, JSH, Lee, KC, Lee, CH, Ling, MHT. 2012. Gradual and Step-wise Halophilization Enables Escherichia coli ATCC 8739 to Adapt to 11% NaCl. Electronic Physician 4(3): 527-535.

[13] MapMan-Tobacco.rar (2013)

Data set for Ling, MHT, Rabara, RC, Tripathi, P, Rushton, PJ, Ge, X. 2013. Extending MapMan Ontology to Tobacco for Visualization of Gene Expression. Dataset Papers in Biology 2013, Article ID 706465.

[12] NTGI-part1.zip and NTGI-part2.zip

Tobacco gene index, release 1 to 7 (from DFCI Gene Indices) and used in Ling, MHT, Rabara, RC, Tripathi, P, Rushton, PJ, Ge, X. 2013. Extending MapMan Ontology to Tobacco for Visualization of Gene Expression. Dataset Papers in Biology 2013, Article ID 706465.

[11] ragaraja-1.0.zip (2012)

Source codes and test codes for Ling, MHT. 2012. Ragaraja 1.0: The Genome Interpreter of Digital Organism Simulation Environment (DOSE). The Python Papers Source Codes 4: 2. Ragaraja is the core of DOSE as described in Ling, MHT. 2012. An Artificial Life Simulation Library Based on Genetic Algorithm, 3-Character Genetic Code and Biological Hierarchy. The Python Papers 7: 5. These codes are also found in COPADS source code repository.

[10] Bactome-II.zip (2011)

Source codes for analyzing Gene Ontology over-representation: Ling, MHT. 2011. Bactome II: Analyzing Gene List for Gene Ontology Over-Representation. The Python Papers Source Codes 3: 3. These codes are also found in Bactome source code repository.

[9] common_refgene_finder.zip

Excel templates for common reference/invariant genes finder - BestKeeper, geNorm, NormFinder.

[8] GA.zip (2010)

Source codes and test codes for Lim, JZR, Aw, ZQ, Goh, DJW, How, JA, Low, SXZ, Loo, BZL, Ling, MHT. 2010. A genetic algorithm framework grounded in biology. The Python Papers Source Codes 2: 6. These codes are also found in COPADS source code repository.

[7] COPADS-II.zip (2010)

Source codes and test codes for Chay, ZE, Ling, MHT. 2010. COPADS, II: Chi-Square test, F-Test and t-Test Routines from Gopal Kanji's 100 Statistical Tests. The Python Papers Source Codes 2:3. These codes are also found in COPADS source code repository.

[6] Russel-Rao-RFLP.xlsx (2010)

Data set for Chay, ZE, Lee, CH, Lee, KC, Oon, JSH, Ling, MHT. 2010. Russel and Rao Coefficient is a Suitable Substitute for Dice Coefficient in Studying Restriction Mapped Genetic Distances of Escherichia coli. Computational and Mathematical Biology 1:1.

[5] COPADS-I.zip (2010)

Source codes and test codes for 35 distance measures (Jaccard, Dice, Sokal and Michener, Matching, Anderberg, Ochiai, Ochiai 2, First Kulcsynski, Second Kulcsynski, Forbes, Hamann, Simpson, Russel and Rao, Roger and Tanimoto, Sokal and Sneath, Sokal and Sneath 2, Sokal and Sneath 3, Buser, Fossum, Yule Q, Yule Y, McConnaughey, Stiles, Pearson, Dennis, Gower and Legendre, Tulloss, Hamming, Euclidean, Minkowski, Manhattan, Canberra, Complement Bray and Curtis, Cosine, Tanimoto): Ling, MHT. 2010. COPADS, I: Distances Measures between Two Lists or Sets. The Python Papers Source Codes 2:2. These codes are also found in COPADS source code repository.

[4] Bactome-I.zip (2010)

Source codes for analysis of DNA fingerprints (find suitable primers for PCR-based DNA fingerprinting given a known genome, determine restriction digestion profile, and analyse the resulting DNA fingerprint features as migration distance of the bands in gel electrophoresis): Lee, CH, Lee, KC, Oon, JSH, Ling, MHT. 2010. Bactome, I: Python in DNA Fingerprinting. In: Peer-Reviewed Articles from PyCon Asia-Pacific 2010. The Python Papers 5(3): 6. These codes are also found in Bactome source code repository.

[3] ZTest.zip (2009)

Source codes and test codes for Ling, MHT. 2009. Ten Z-test Routines from Gopal Kanji's 100 Statistical Tests. The Python Papers Source Codes 1:5. These codes are also found in COPADS source code repository.

[2] Distributions-I.zip (2009)

Source codes and test codes for Ling, MHT. 2009. Compendium of Distributions, I: Beta, Binomial, Chi-Square, F, Gamma, Geometric, Poisson, Student's t, and Uniform. The Python Papers Source Codes 1:4. These codes are also found in COPADS source code repository.

[1] IB-DWB.zip (2003)

Source codes and documentation for Ling, MHT and So, CW. 2003. Architecture of an Open-Sourced, Extensible Data Warehouse Builder: InterBase 6 Data Warehouse Builder (IB-DWB). In Rubinstein, B. I. P., Chan, N. & Kshetrapalapuram, K. K. (Eds.), Proceedings of the First Australian Undergraduate Students' Computing Conference. (pp. 40-45).