How to Install and Uninstall wtdbg2 Package on Kali Linux
Last updated: November 07,2024
1. Install "wtdbg2" package
Learn how to install wtdbg2 on Kali Linux
$
sudo apt update
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$
sudo apt install
wtdbg2
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2. Uninstall "wtdbg2" package
In this section, we are going to explain the necessary steps to uninstall wtdbg2 on Kali Linux:
$
sudo apt remove
wtdbg2
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the wtdbg2 package on Kali Linux
Package: wtdbg2
Version: 2.5-9
Installed-Size: 6810
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), zlib1g (>= 1:1.2.0)
Suggests: perl:any, minimap2, samtools, mummer, wtdbg2-examples
Size: 696996
SHA256: 27225b35af12a9149ea5960e7f4b78de37e5c6c39bdf0255f87d846f3df0e656
SHA1: ecf209b1c55f875fc0c13bf0d61e749a142ecf86
MD5sum: f577f958fda5720760febb789e1a025b
Description: de novo sequence assembler for long noisy reads
Wtdbg2 is a de novo sequence assembler for long noisy reads produced by
PacBio or Oxford Nanopore Technologies (ONT). It assembles raw reads
without error correction and then builds the consensus from intermediate
assembly output. Wtdbg2 is able to assemble the human and even the 32Gb
Axolotl genome at a speed tens of times faster than CANU and FALCON
while producing contigs of comparable base accuracy.
.
During assembly, wtdbg2 chops reads into 1024bp segments, merges similar
segments into a vertex and connects vertices based on the segment
adjacency on reads. The resulting graph is called fuzzy Bruijn graph
(FBG). It is akin to De Bruijn graph but permits mismatches/gaps and
keeps read paths when collapsing k-mers. The use of FBG distinguishes
wtdbg2 from the majority of long-read assemblers.
Description-md5:
Homepage: https://github.com/ruanjue/wtdbg2
Section: science
Priority: optional
Filename: pool/main/w/wtdbg2/wtdbg2_2.5-9_amd64.deb
Version: 2.5-9
Installed-Size: 6810
Maintainer: Debian Med Packaging Team
Architecture: amd64
Depends: libc6 (>= 2.34), zlib1g (>= 1:1.2.0)
Suggests: perl:any, minimap2, samtools, mummer, wtdbg2-examples
Size: 696996
SHA256: 27225b35af12a9149ea5960e7f4b78de37e5c6c39bdf0255f87d846f3df0e656
SHA1: ecf209b1c55f875fc0c13bf0d61e749a142ecf86
MD5sum: f577f958fda5720760febb789e1a025b
Description: de novo sequence assembler for long noisy reads
Wtdbg2 is a de novo sequence assembler for long noisy reads produced by
PacBio or Oxford Nanopore Technologies (ONT). It assembles raw reads
without error correction and then builds the consensus from intermediate
assembly output. Wtdbg2 is able to assemble the human and even the 32Gb
Axolotl genome at a speed tens of times faster than CANU and FALCON
while producing contigs of comparable base accuracy.
.
During assembly, wtdbg2 chops reads into 1024bp segments, merges similar
segments into a vertex and connects vertices based on the segment
adjacency on reads. The resulting graph is called fuzzy Bruijn graph
(FBG). It is akin to De Bruijn graph but permits mismatches/gaps and
keeps read paths when collapsing k-mers. The use of FBG distinguishes
wtdbg2 from the majority of long-read assemblers.
Description-md5:
Homepage: https://github.com/ruanjue/wtdbg2
Section: science
Priority: optional
Filename: pool/main/w/wtdbg2/wtdbg2_2.5-9_amd64.deb