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An electropherogram (also called electrophoretogram, sequencing chromatogram, EPG, and e-gram) is a record or chart produced when electrophoresis is used in an analytical technique, primarily in the fields of forensic biology, molecular biology, and biochemistry. [1]
Parrot Security OS is a cloud-oriented Linux distribution based on Debian and designed to perform security and penetration tests, do forensic analysis, or act in anonymity. It uses the MATE Desktop Environment, Linux Kernel 4.6 or higher and it is available as a live lightweight installable ISO image for 32-bit, 64-bit and ARM processors with ...
Forensic statistics is the application of probability models and statistical techniques to scientific evidence, such as DNA evidence, [1] and the law. In contrast to "everyday" statistics, to not engender bias or unduly draw conclusions, forensic statisticians report likelihoods as likelihood ratios (LR).
Searching the YHRD will result in a match or a non-match between a searched haplotype and the databased reference samples. The relative number of matches is described as the profile frequency. In forensic casework the probability of a match which is based on the profile frequency is evaluated using different methods.
Electrical network frequency (ENF) analysis is an audio forensics technique for validating audio recordings by comparing frequency changes in background mains hum in the recording with long-term high-precision historical records of mains frequency changes from a database.
Forensic DNA analysis can be a useful tool in aiding forensic identification because DNA is found in almost all cells of our bodies except mature red blood cells. Deoxyribonucleic acid is located in two different places of the cell, the nucleus; which is inherited from both parents, and the mitochondria; inherited maternally.
Steganography tools aim to ensure robustness against modern forensic methods, such as statistical steganalysis. Such robustness may be achieved by a balanced mix of: a stream-based cryptography process; a data whitening process; an encoding process.
Configural frequency analysis (CFA) is a method of exploratory data analysis, introduced by Gustav A. Lienert in 1969. [1] The goal of a configural frequency analysis is to detect patterns in the data that occur significantly more (such patterns are called Types) or significantly less often (such patterns are called Antitypes) than expected by chance.