Search Results for "genomics"

Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills standard and works with multiple AI development environments including Claude Code, Cursor, and Codex. ...

...This open-source project incorporates various statistical measures necessary for codon usage analysis, including codon adaptation index, codon bias index, Gravy score, and correspondence analysis for both nucleotide and protein sequences. Start using CodonU today and see how it can revolutionize your genomics research! Find more at: https://github.com/SouradiptoC/CodonU Documentation link: https://souradiptoc.github.io/CodonU Example Link: https://github.com/SouradiptoC/CodonU/tree/master/Examples

...Visit http://www.biomedcentral.com/1471-2164/15/858/abstract for the pdf article describing the utility of iMSAT and if you use the program please cite this article as: Andersen and Mills: iMSAT: a novel approach to the development of microsatellite loci using barcoded Illumina libraries. BMC Genomics 2014 15:858.

NetView P has been re-structured as a package for R and moved to GitHub: https://github.com/esteinig/netview

Genome coverage, the number of sequencing reads mapped to a position in a genome, is an insightful indicator of irregularities within sequencing experiments. While the average genome coverage is frequently used within algorithms in computational genomics, the complete information available in coverage profiles (i.e. histograms over all coverages) is currently not exploited to its full extent. Thus, biases such as fragmented or erroneous reference genomes often remain unaccounted for. Making this information accessible can improve the quality of sequencing experiments and quantitative analyses. ...

...From here, users are able to evaluate potential off targeting, to export results in FASTA format or tabulated (e.g. for Microsoft Excel), and to connect to the Integrative Genomics Viewer (IGVref) and view target-sites in the context of genomic annotations, amino acid translations, and HT-Seq data (for off-target validation). We provide online video tutorials and a toy database from our main website.

These are Python scripts plus C/C++ programs for automating the reference free genomic analysis described in: Kua C-S, Ruan J, Harting J, Ye C-X, Helmus MR, et al. (2012) Reference-Free Comparative Genomics of 174 Chloroplasts. PLoS One 7(11). http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0048995 Analytical concept conceived by CHCannon and CSKua. Original script written in Mathematica by CHCannon.

DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV

pygr is a bioinformatics toolkit for sequence analysis and comparative genomics. pygr is highly scalable (e.g. one can easily query multi-genome alignments) and easy to use. Please see our new project page and wiki at http://code.google.com/p/pygr.