Date: Fri, 29 Mar 2024 16:59:17 +0700 (NOVT)
Message-ID: <618230699.89084.1711706357825@ugene.net>
Subject: Exported From Confluence
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The ChIP-seq pipeline =E2=80=9C=
Cistrome=E2=80=9D integrated into UGENE allows one to do the following anal=
ysis steps: peak calling and annotating, motif search and gene ontology. Ch=
IP-seq analysis is started from MACS tool. CEAS then takes peak regions and=
signal wiggle file to check which chromosome is enriched with binding/modification sites, whether bindin=
gs events are significant at gene features like promoters, gene bodies, exo=
ns, introns or UTRs, and the signal aggregation at gene transcription start=
/end sites or meta-gene bodies (average all genes). Then peaks are investig=
ated in these ways:
- to check which genes are nearby so can=
be regarded as potential regulated genes, then perform GO analysis;
- to check the conservation scores at th=
e binding sites;
- the DNA motifs at binding sites. =
Note that it is originally based on the=
General ChIP-seq pipeline from the public Cist=
rome installation on the Galaxy=
workflow platform.
Select Samples tab on the Workflow Designer Palette and double-click on the ChIP-seq analysis with Cistrome tools sample. The following configure wizard appears:
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Here you need to choose analysis type and cistrome internal data and =
click Setup
. For treatment tags only analysis type the following workflow appear=
s:
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For treatment and control tags a=
nalysis type the following workflow appears:
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To run these workflows you need to select input annotatio=
ns, and output files and directories. Also, if required, you can change par=
ameters of MACS, CEAS, Conservation Plot=
, SeqPos,=
Peak2Gene, and Gene Ontology. Use =
the workflow wizard to guide you through the parameters setup process. The =
first wizard page appears automatically after the Setup button has been pre=
ssed or click Show wizard butto=
n on the Workflow Designer toolbar to open it:
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The first wizard page:
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Here you need to input a file with treatment a=
nnotations for MACS. Select a file and click Next. The nex=
t wizard page allows you to configure MACS parameters:
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The following parameters are available:=
Genome s=
ize (Mbp) |
Homo sap=
ience - 2700 Mbp Mus musc=
ulus - 1870 Mbp Caenorhab=
ditis elegans - 90 Mbp Dr=
osophila melanogaster - 120 Mbp It's the mappable genome size or effective genome size which is defi=
ned as the genome size which can be sequenced. Because of the repetitive fe=
atures on the chromosomes, the actual mappable genome size will be smaller =
than the original size, about 90% or 70% of the genome size. |
P-value<=
/span> |
P-value =
cutoff. Default is 0.00001, for looser results, try 0.001 instead.=
p> |
Tag size=
(optional) |
Length o=
f reads. Determined from first 10 reads if not specified (input 0).<=
/p> |
Keep dup=
licates |
It contr=
ols the MACS behavior towards duplicate tags at the exact same location -- =
the same coordination and the same strand. The default auto option makes MA=
CS calculate the maximum tags at the exact same location based on binomal d=
istribution using 1e-5 as pvalue cutoff; and the all option keeps every tag=
s. If an integer is given, at most this number of tags will be kept at the =
same location. |
Use mode=
l |
Whether =
or not to use MACS paired peaks model. |
Model fo=
ld |
Select t=
he regions within MFOLD range of high-confidence enrichment ratio against. =
Model fold is available when Use Model is true, which is the foldchange to =
chose paired peaks to build paired peaks model. Users need to set a lower(s=
maller) and upper(larger) number for fold change so that MACS will only use=
the peaks within these foldchange range to build model. |
Wiggle o=
utput |
If this =
flag is on, MACS will store the fragment pileup in wiggle format for the wh=
ole genome data instead of for every chromosomes. |
Wiggle s=
pace |
By defau=
lt, the resolution for saving wiggle files is 10 bps, i.e., MACS will save =
the raw tag count every 10 bps. You can change it along with W=
iggle output parameter. |
Shift si=
ze |
An arbit=
rary shift value used as a half of the fragment size when model is not buil=
t. Shift size is available when Use Model is false, which will represent th=
e HALF of the fragment size of your sample. If your sonication and size sel=
ection size is 300 bps, after you trim out nearly 100 bps adapters, the fra=
gment size is about 200 bps, so you can specify 100 here. |
Band wid=
th |
The band=
width which is used to scan the genome for model building. You can set thi=
s parameter as the sonication fragment size expected from wet experiment. U=
sed only while building the shifting model. |
Use lamb=
da |
Whether =
to use local lambda model which can use the local bias at peak regions to t=
hrow out false positives. |
Small ne=
arby region |
The smal=
l nearby region in basepairs to calculate dynamic lambda. This is used to c=
apture the bias near the peak summit region. Invalid if there is no control=
data. |
Auto bim=
odal |
Whether =
turn on the auto pair model process.If set, when MACS failed to build paire=
d model, it will use the nomodelsettings, the =C2=93Shift size=C2=94 parame=
ter to shift and extend each tags. |
Scale to=
large |
When set=
, scale the small sample up to the bigger sample.By default, the bigger dat=
aset will be scaled down towards the smaller dataset,which will lead to sma=
ller p/qvalues and more specific results. Keep in mind that scaling down wi=
ll bring down background noise more. |
Configure the parameters, if required, and click <=
span style=3D"background-color: transparent;line-height: 1.4285715;text-ali=
gn: justify;">Next. The next page appears:
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On this page you can configure CEAS parameters:
Gene annotations table |
Path to gene annotation table (e.g. a r=
efGene table in sqlite3 db format. |
Span siz=
e |
Span fro=
m TSS and TTS in the gene-centered annotation (base pairs). ChIP regions wi=
thin this range from TSS and TTS are considered when calculating the covera=
ge rates in promoter and downstream. |
Wiggle profiling resolution <=
/td>
| Wiggle p=
rofiling resolution. WARNING: Value smaller than the wig interval (resoluti=
on) may cause aliasing error. |
Promoter=
/downstream interval |
Promoter=
/downstream intervals for ChIP region annotation are three values or a sing=
le value can be given. If a single value is given, it will be segmented int=
o three equal fractions (e.g. 3000 is equivalent to 1000,2000,3000).=
|
BiPromot=
er ranges |
Bidirect=
ional-promoter sizes for ChIP region annotation. It's two values or a singl=
e value can be given. If a single value is given, it will be segmented into=
two equal fractions (e.g. 5000 is equivalent to 2500,5000).
|
Relative=
distance |
Relative=
distance to TSS/TTS in WIGGLE file profiling. |
Gene gro=
up files |
Gene gro=
ups of particular interest in wig profiling. Each gene group file must have=
gene names in the 1st column. The file names are separated by commas. |
Gene gro=
up names |
Set this=
parameter empty for using default values. The names of the gene groups from "Gene group files" para=
meter. These names appear in the legends of the wig profiling plots.=
Values range: comma-separated l=
ist of strings. Default value: 'Group 1, Group 2,...Group n'.
|
Cl=
ick Next. The next page allows you to configure Conservation Plot p=
arameters:
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Th=
e following parameters are available:
Title |
Title of the figure. |
Label |
Label of data in the figure. =
|
Assembly=
version |
The dire=
ctory to store phastcons scores. |
Window w=
idth |
Window w=
idth centered at middle of regions. |
Height=
span> |
Height o=
f plot. |
Width |
Width of=
plot. |
Op=
tionally choose these parameters and click Next. The next page contains=
SeqPos motif parameters:
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The following parameters are available:
Genome assembly version |
UCSC database version. |
De novo =
motifs |
Run de n=
ovo motif search. |
Motif da=
tabase |
Known mo=
tif collections. |
Region w=
idth |
Width of=
the region to be scanned for motifs; depends on a resolution of assay. |
Pvalue c=
utoff |
Pvalue c=
utoff for the motif significance. |
Op=
tionally, modify these parameters and click Next. The next page contain=
Peak2Gene and Gene Ontology parameters:
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You can configure the following parameters:
Output type |
The dire=
ctory to store Conduct GO results. |
Official gene symbols |
Output official gene symbol instead of =
refseq name. |
Distance |
Set a number which unit is base. It wil=
l get the refGenes in n bases from peak center. |
Genome f=
ile |
Select a=
genome file (sqlite3 file) to search refGenes. |
Title |
Title is=
used to name the output files - so make it meaningful. |
Gene Uni=
verse |
Select a=
gene universe. |
The last wizard page:
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Here you need to input output files and directories for a=
ll tools.
MACS output:
Output directory |
Directory to save MACS output files. |
Name |
Name string of the experiment. <=
span>MACS will use this string NAME to create output files lik=
e 'NAME_peaks.xls', 'NAME_negative_peaks.xls', 'NAME_peaks.bed', 'NAME_summ=
its.bed', 'NAME_model.r' and so on. So please avoid any confliction between=
these filenames and your existing files. |
CEAS output:
Output report file |
Path to the report output file. Result =
for the CEAS analysis. |
Output annotations file |
Name of tab-delimited output text file,=
containing a row of annotations for every RefSeq gene. Note that the file =
is not generated if there is no peak regions input. |
Conservation Plot output:
Output file |
File to store phastcons results (BMP).<=
/span> |
SeqPos motif tool output:=
span>
Output directory |
Directory to store seqpos results. |
Output file name |
Name of =
the output file which stores new motifs found during a de novo search. |
Peak2Gene output:
Gene annotations |
Location of peak2gene gene annotations data f=
ile. |
Peak annotations |
Location of peak2gene peak annotations =
data file. |
Conduct GO output:
Output directory |
Directory to store Conduct GO results.<=
/span> |
Choose these output directories click on the Finish button.
Note that default butto=
n reverts all parameters to default settings.
Now let=E2=80=99s validate and run the=
workflow. To validate that the workflow is correct and all parameters are =
set properly click the Validate workflow button on the Workflow Designer toolbar:
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If there are some errors, they will be shown in the Error list at the bottom of the Workflow Designer win=
dow, for example:
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However, if you have set all the re=
quired parameters, then there shouldn=E2=80=99t be errors. After tha=
t you can estimate the workflow. To run estimation click the Estim=
ate workflow button:
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To run a valid workflow, click the Run =
workflow button on the Workflow Designer toolbar:
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As soon as the variants calling tas=
k is finished, a notification and dashboard will appear. =
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The dashboard will contain information ab=
out workflow: input and output files, all information about task.
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