GitHub topics: karyotype

Repositories

eweitz/ideogram

Chromosome visualization for the web

Language: JavaScript - Size: 156 MB - Last synced at: 5 days ago - Pushed at: 14 days ago - Stars: 300 - Forks: 72

caravagnalab/CNAqc

CNAqc - Copy Number Alteration (CNA) Quality Check package

Language: R - Size: 690 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 22 - Forks: 8

TNTurnerLab/CNPI

Software for Rapid Analyses of Human Copy Number Data

Language: C++ - Size: 106 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

sanjaynagi/rna-seq-pop

Snakemake workflow for Illumina RNA-sequencing experiments - extract population genomic signals from RNA-Seq data

Language: Jupyter Notebook - Size: 99.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 18 - Forks: 9

SouthGreenPlatform/GeMo

A mosaic genome painting tool for plant genomes

Language: JavaScript - Size: 8.89 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 15 - Forks: 1

andreasprlic/karyotypeSVG

A javascript library to generate SVG based ideograms of chromosomes showing cytogenetic bands

Language: JavaScript - Size: 515 KB - Last synced at: 11 months ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 6

CytoGenetic Pattern Sleuth (CytoGPS) is a software tool to parse semi-structured ISCN-based karyotypes in text formats. This Java-based software was developed using ANTLR (ANother Tool for Language Recognition).

Language: Java - Size: 2.3 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

jviz-deprecated/biojviz-ideogram

Biojviz ideogram element

Language: HTML - Size: 63.5 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

lukasuz/Banding-Pattern-Extraction

Banding pattern extraction, and banding pattern segmentation mask generation for stained banded chromosome images.

Language: Python - Size: 456 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4

marccasian/KaryML-Framework

Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down syndrome, Klinefelter syndrome or Hemophilia. Usually, clinicians are doing chromosome analysis using the karyotype to detect such disorders. The main contribution of the current article consists of introducing a new approach called KaryML Framework, which is extending our previous research: KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps . Our major goal is to provide a new method for an automated karyotyping system using unsupervised techniques. Additionally, we provide computational methods for chromosome feature extraction and to develop an intelligent system designed to aid clinicians during the karyotyping process.

Language: Python - Size: 10.2 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 0