Directed Evolution in Silico
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Updated
May 13, 2024 - Julia
Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
Directed Evolution in Silico
Representing BioSequences as Simplex numerical matrix
RankCompV3: a differential expression analysis algorithm based on the relative expression orderings (REOs) of gene pairs
A repository for performing double-digest Restriction Associated DNA sequencing (ddRAD-seq) for reduced representation sequencing.
Phylogenetic trees with metadata by Julia based on Graphs.jl and AbstractTrees.jl.
collection of miscellaneous command line bioinformatic scripts written in julia for speed
A pure Julia port of R's GENLIB genetics and genealogical library
Implementation of a modified Trie datastructure where duplicate letters posses a "count" that increments when a character matches the current node.
Review of continuous and discrete distributions for the course on maximum likelihood methods.
Solutions to Rosalind's Bioinformatics problems, written in Julia
Threshold and p-value computations for Position Weight Matrices
Variable Selection with Knockoffs
A Julia package to find ageing genes in S. pombe
Substract two electrostatic maps, contained in Gaussian cube files, and generate a new electrostatic map with the difference.
A kmer-based homology searching tool
Julia implementation of "Fast Trie-Based Method for Multiple Pairwise Sequence Alignment" paper.
CUDA-accelerated Nonlocal Electrostatics in Structured Solvents
BitArray representation of genetic sequences in Julia