Date: Fri, 29 Mar 2024 12:56:02 +0700 (NOVT)
Message-ID: <1386050241.88654.1711691762551@ugene.net>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_88653_993178258.1711691762550"
------=_Part_88653_993178258.1711691762550
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
A consensus sequence can be found in the Consensus Area under a reference sequence. It refers to the most common nucl=
eotide at a particular position.
=20
=20
=
=20
=20
To choose a consensus algorithm select th=
e item eithe=
r in the context menu of the Consensus Area, in the context menu of the Reads Ar=
ea or on the Assembly Browser Setting=
s tab of the Options Panel. .
The following algorithms are currently av=
ailable:
- Default =E2=80=94 shows the most commo=
n nucleotide at each position. When there is equal numbers of different nuc=
leotides in a position, the consensus sequence resulting nucleotide is sele=
cted randomly from these nucleotides.
- SAMtools =E2=80=94 uses an algorithm f=
rom the SAMtools Text Alignment Viewer to build the consensus sequence. The=
algorithm takes into account quality values of reads and nucleotides and w=
orks with the extended nucleotide alphabet.
To leave only differences between the ref=
erence and the consensus sequences highlighted on the consensus sequence, s=
elect the
=20
=20
=
=20
=20
To export a Consensus Sequence, right-click on it in the =
span>Consensus Area=
em> and select the  =
;item in the context menu. For more information about consensus exporting s=
ee Ex=
porting Consensus.
------=_Part_88653_993178258.1711691762550
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: file:///C:/a5016ebe47b6b8468def73e240aa468a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------=_Part_88653_993178258.1711691762550
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: file:///C:/c92750440edcd8716d11be503d6978ab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------=_Part_88653_993178258.1711691762550--