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Shostina edited this page Jul 24, 2023 · 10 revisions

Intro

Pre-built binaries

Pre-built Linux and Mac binaries are available from Releases page.

Prerequisites (for building from the source code)

  • Qt 6
  • CMake
  • C++17-compliant compiler

Building from source

mkdir build
cd build
cmake ..
make

New features:

Rotate contig

To rotate contig you should hold down the right mouse button and move one of the ends of the contig. video_3

Hi-C links visualization

You can visualize Hi-C links between different contigs in the de Bruijn graph. Hi-C links are shown like as dotted lines connecting the midpoints of contigs.

Load Hi-C metadata

To load Hi-C metadata in Bandage you need to choose "Load Hi-C data" items in menu "File". You can load file with Hi-C data only after loading de Bruijn graph.

image

Below is an example of a Hi-C metadata TXT file:

v1	v2	hic_w
1268598	831795	6516
1072702	831795	5454
1268598	524477	1548

Hi-C metadata file should be in TXT format with three columns split by tab (/t). In the first and second columns there are IDs of contigs connecting by Hi-C links. In the third colums there is weight(number of Hi-C links). First row should contains name of columns.

Draw graph with Hi-C links

To draw de Bruijn graph with Hi-C links you should click on the "Draw graph" button after lading Hi-C metadata.

image

Filter Hi-C links

You should fit and choose filter settings and click on the "Draw graph" button to draw graph after change filter of Hi-C links visualization.

image

  • You can choose min Hi-C weight, then Hi-C links with weight less then min weight will be not visualized.

  • You can choose min length of contig's nucleic acid sequence. Hi-C link connecting short contigs wasn't shown.

  • You can choose filter of Hi-C links inclusion:

    • All edges - All Hi-C links will be shown

    image

    • All edges link groups - All Hi-C links connecting contigs from different graph's connected components will be shown

    image

    • One edge links groups - Only one Hi-C link between different graph's connected components will be shown

    image

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