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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Assembly of Complex Microtubule Structures

Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
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Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Assembly of Cytoskeletal Filaments01:18

Assembly of Cytoskeletal Filaments

Cytoskeletal filaments are polymeric forms of smaller protein subunits. However, individual cytoskeletal filaments may easily disassemble or associate with other similar filaments to form rigid structures. Microfilaments, made of actin monomers, rely on actin-binding proteins to form bundles and create networks of individual actin filaments. Microtubules rely on microtubule-associated proteins (MAPs) to form sturdy cylindrical structures. However, the proteins involved in forming complex...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
ATP and Macromolecule Synthesis01:28

ATP and Macromolecule Synthesis

Biological macromolecules are organic compounds, predominantly composed of carbon atoms. The carbon atoms are covalently bonded with hydrogen, oxygen, nitrogen, and other minor elements. There are four major biological macromolecule classes: carbohydrates, lipids, proteins, and nucleic acids.
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Conversion of...

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Updated: May 26, 2026

A Customizable Protocol for String Assembly gRNA Cloning (STAgR)
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A Customizable Protocol for String Assembly gRNA Cloning (STAgR)

Published on: December 26, 2018

agtools: a software framework to manipulate assembly graphs.

Vijini Mallawaarachchi1, George Bouras2,3, Ryan R Wick4,5

  • 1Flinders Accelerator for Microbiome Exploration, Flinders University, Bedford Park, SA 5042, Australia.

Bioinformatics Advances
|May 25, 2026
PubMed
Summary
This summary is machine-generated.

agtools is an open-source Python framework for manipulating assembly graphs from genome and metagenome assemblers. It offers command-line and package interfaces for streamlined graph analysis and integration into bioinformatics workflows.

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Published on: December 22, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Assembly graphs are crucial data structures for genome and metagenome assemblers, representing sequence overlaps.
  • These graphs are increasingly vital for downstream applications like metagenomic binning, plasmid detection, and haplotype phasing.
  • A comprehensive tool for manipulating diverse assembly graph formats is needed.

Purpose of the Study:

  • To present agtools, an open-source Python framework for manipulating assembly graphs.
  • To provide programmatic access for parsing, converting, filtering, and analyzing assembly graphs.
  • To facilitate streamlined, integrated assembly-graph-based bioinformatics analyses.

Main Methods:

  • Developed an open-source Python framework named agtools.
  • Implemented a command-line interface for tasks like format conversion, filtering, and component extraction.
  • Exposed a Python package interface for loading, querying, and analyzing assembly graphs.

Main Results:

  • agtools supports assembly graphs from popular genome and metagenome assemblers.
  • The framework enables efficient manipulation and analysis of assembly graph data.
  • Provides streamlined integration into existing bioinformatics software and workflows.

Conclusions:

  • agtools offers a versatile solution for assembly graph manipulation.
  • The tool enhances downstream analyses in genomics and metagenomics.
  • agtools is readily available via GitHub, Bioconda, and PyPI.