Life Sciences Bioinformatics Analysis
Classify, Cluster, Make Sense of Your Data
Analyzing data properly requires not just good statistical and analytical skills, but good data and good collaborative skills. Often statisticians are asked to do work with little or no guidance from scientists or asked to analyze data they themselves don't understand very well. Analysis done without good data and effective communication with domain experts is doomed to fail.
We are experienced in using bioinformatics and statistical tools to help make sense of your data. We are well-versed in unsupervised data exploration and identifying effective algorithms for identifying known classes. We know how to use existing methods or develop new ones, depending on the situation.
What is Bioinformatics?
Dictionary.com vaguely defines informatics as "the study of information processing." 5AM’s Senior Director of Bioinformatics, William Fitzhugh, gives us his take:
"Bioinformatics is the application of computer science, math and statistics to the processing of biological data. It can involve developing new methods but often involves applying existing methods expertly. There are quite few examples of existing computer science algorithms (dynamic programming and hidden Markov models, for example) being newly applied to biological problems years after they were originally developed."
