GSR: Simulator - seq2squiggle

Basic Package Attributes
Attribute	Value
Title	seq2squiggle
Short Description	Transformer-based simulator for nanopore raw sequencing signals.
Long Description	seq2squiggle generates Oxford Nanopore raw electrical signal traces from nucleotide sequences using a feed-forward transformer model, supporting end-to-end simulation and benchmarking against modern nanopore signal simulators.
Keywords	nanopore sequencing; raw signal simulation; Oxford Nanopore; transformer; deep learning; Python; MIT
Version	v0.3.4
Homepage	https://github.com/ZKI-PH-ImageAnalysis/seq2squiggle
Citations
GSR Certification	This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.
Author verification	The basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.

Detailed Attributes
Attribute Category	Attribute
Target
Type of Simulated Data	Sequencing Reads,
Variations
Simulation Method
Input
Data Type
File format
Output
Data Type	Genotype or Sequence,
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
Interface	Command-line, Script-based,
Development
Tested Platforms	Linux and Unix,
Language	Python,
License	MIT,
GSR Certification

Number of Primary Citations: 0

Number of Non-Primary Citations: 0

No example publication using seq2squiggle has been provided.

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