Biostatistical & Bioinformatics Services
Biostatistical Consulting, Study Design & Statistical Analysis By Experienced Biostatisticians
Our biostatistical consulting services are individually tailored to suit the project at hand and can cover a broad range of approaches. We can theoretically enter into collaboration at any stage of your research, whether it be the design stage, data collection, statistical analysis, reporting and preparing for presentations. Most commonly a statistical consulting project will cover one or more of the following areas:
Study design and planning
Prior to the collection of data, a suitable study design should be determined, including calculation of the appropriate sample size for a desired power or vice versa. Having a clearly outlined plan for your research can make the later stages of analysis much easier. We can also prepare randomisation schedules in preparation for patient allocation to treatment or study groups.
Data collection and cleaning
We can assist you to determine, in advance, the most beneficial format to collect your data for the purposes of addressing your research questions. Having research questions clearly set out in advance of data collection allows the data collection process to be that much more efficient, as data is in an optimal format from the outset. This reduces the amount of cleaning and transformation of the data file, reducing costs and making our job a little less tedious.
Statistical programming and data analysis
Once experimental data has been collected, data analysis can be performed and/or procedures demonstrated to those interested in performing the analysis themselves. Commonly used software includes SPSS, SAS, R and Stata. Other similar statistical software can be adopted in line with individual preferences. For individuals performing their own analysis a troubleshooting service is also available. The following are some statistical approaches that are commonly encountered.
-Standard hypothesis testing:
t tests, ANOVA, ANCOVA, Mann-Whitney U test, Wilcoxon signed-rank test, chi squared analysis and survey analysis using various methods.
Linear regression, logistic regression, polynomial regression, poisson regression, negative binomial ridge regression, lasso regression, ecologic regression, logic regression, probit, jacknife regression
-Latent variable models:
PCA, Factor analysis, Common factor models, item response theory models, latent class model, structural equation models with latent variables.
Heirachical clustering, k-means clustering, medoid clustering, , fuzzy clustering, and regression clustering
Meta analysis of means, proportions, correlated proportions or hazard ratios.
Graphs and charts can be created using SPSS, SAS, Stata, Tableau, Qlikview or R Shiny.
Once all analysis has been completed, a summary interpreting the results in plain English will be provided as well as a complete statistical report, including results and conclusions, in line with conventional (APA) standards, or other preferred standards. Typically we will first send through to you a standard statistical report with results and any visuals but without the bells and whistles. Once you are happy with the contents it will then be written up to publication standards or even made into a power point presentation as per your requirements.
The finished product will typically include a statistical report outlining the results of the analyses and any tables, graphs and other visualisations. We are also happy to include any programming code used to perform the analyses and all output produced, as required. As often is the case many clients prefer to remain liberated of these finer details, therefore include these components upon your request.
Specialist Bioinformatics Services
At Anatomise Biostats we provide you with our bioinformatics expertise at any stage of your project regardless of whether you are planning to run a new experiment or need to accelerate your analysis by leveraging cloud computing or utilizing advanced machine learning methods to tease out meaningful patterns. We support your studies both in design as well as in utilizing the latest methodologies to helping you answering your questions.
To make sense of generated big omics data, Anatomise Biostats provide a wide range of biostatistical and bioinformatics service to validate and identify biomarkers in the field of molecular life science. We use appropriate method according to the project and to customer’s expectations. The service includes Bioinformatics upstream analysis to assure the quality of next generation sequencing data as well as tease out meaningful pattern through appropriate biostatistical methods.
We leverage advanced multi-objective ensemble dimensionality reduction techniques combined with information about the interactions of molecules (genes, RNA, proteins, microbiome) in order to be able to identify a minimum number of biomarkers that should be selected to predict the phenotype under study with the highest accuracy that can be achieved.
DNA sequence analysis:
Copy number analysis
Genome Assembly and refinement
In-silico Biomarker discovery
Whole Metagenomics analysis
16S/18S rRNA analysis
Protein structure and function prediction
RNA sequence analysis:
Transcriptome assembly and annotation
Novel transcriptome detection
For more information on how we can assist you with your research please get in touch for a free quote via the contact page