26 skills found
pallada-92 / Dna 3d Engine3d engine implementation in DNA code!
zengxiaofei / HapHiCHapHiC: a fast, reference-independent, allele-aware scaffolding tool based on Hi-C data
aidenlab / 3d Dna3D de novo assembly (3D DNA) pipeline
thenlevy / EnsnanoENSnano, a 3D graphical application for DNA nanostructures.
traulab / DIYNAFLUORCode, 3D Print Files, BOM and Build Instructions for the DIYNAFLUOR DNA Fluorometer
3D Nature Source Code
PaulKlinger / Dna Sculpture3D printed sculpture of a DNA molecule, showing my own genome
soumitrasaxena / DNACoding a 3D DNA Structure in OpenGL
tzok / EltetradoA Python application to find and classify tetrads and quadruplexes in DNA/RNA 3D structures
JoyAlbertini / Unity 3DnavigationA 3D navigation system for Unity featuring space discretization with an octree and path planning using A* Lazy Theta ecc..
flystar233 / 3d Dna PipeNo description available
david-bogdan / ARTEMISRNA/DNA 3D structure alignment tool
sherif1152 / Autonomous 3DNavigationNo description available
jwyang21 / 3D Genome Risk Prediction[ACM-BCB 2023 Oral Presentation] Official repository of "Deep learning-based survival prediction using DNA methylation-derived 3D genomic information"
Gagniuc / 3D Objective Digital StainsA 3D Objective Digital Stain is able to show the information structure of a DNA or RNA sequence in a graphical manner. In this case, the ODS is computed using the local frequency of the symbols from a sliding window. In the 3D version, the overlapping values (similar sliding windows) are represented by a gradient from black to red.
ViriatoII / Hi C Scaffolding PipelinesI'm sharing my automation of the 3D_DNA and SALSA Hi-C scaffolding pipelines.
Gagniuc / 3D Objective Digital Stains Local FrequencyA 3D Objective Digital Stain is able to show the information structure of a DNA or RNA sequence in a graphical manner. In this case, the ODS uses the global frequency of symbols (A, T/U, C, G) from the input sequence to calculate the local frequency of these symbols from a sliding window.
tomachinz / AminoSeeAminoSeeNoEvil (or just AminoSee) is a DNA visualisation that assigns a unique colour hue to each amino acid and start/stop codon in the sequence, and then projects it into 2D and 3D space using an infinite mathematics space-filling function called the "Hilbert curve". This is done to preserve sequence proximity such that 90% of the DNA that is close to its neighbour - such as genes - are also closeby in the image at different resolutions. Genomics researchers can convert any file containing ASCII blocks of DNA (tested with popular formats Fasta, GBK, and also just .txt) into an image. A unique visualisation of DNA / RNA residing in text files, AminoSee is a way to render arbitrarily large files - due to support for streamed processing - into a static size PNG image. Special thanks and shot-outs to David Hilbert who invented it in 1891! Computation is done locally, and the files do not leave your machine. A back-end terminal daemon cli command that can be scripted is combined with a front-end GUI in Electron, AminoSee features asynchronous streaming processing enabling arbitrary size files to be processed. It has been tested with files in excess of 4 GB and does not need the whole file in memory at any time. Due to issues with the 'aminosee *' command, a batch script is provided for bulk rendering in the dna/ folder. Alertively use the GUI to Drag and drop files to render a unique colour view of RNA or DNA stored in text files, output to PNG graphics file, then launches an WebGL browser that projects the image onto a 3D Hilbert curve for immersive viewing, using THREEjs. Command line options allow one to filter by peptide.
chien1219 / DNA SimuationDNA Model & Simulation under HTC VIVE using Unity 3D
openviglet / Shio Media:sparkles: :dna: 🗿 Coming Soon: Store, organize and deliver media assets such as photos, videos, illustrations and 3D