Skip to main content

An HPV integration sites detection tool for targeted capture sequencing data

Project description

SearcHPV

An HPV integration point detection tool for targeted capture sequencing data

Introdution

  • SearcHPV detects HPV fusion sites on both human genome and HPV genome
  • SearcHPV is able to provide locally assembled contigs for each integration events. It will report at least one and at most two contigs for each integration sites. The two contigs will provide information captured for left and right sides of the event.

Getting started

  1. Required resources
  • Unix like environment
  • Third-party tools:
Python/3.7.3 https://www.python.org/downloads/release/python-373/
samtools/1.5 https://github.com/samtools/samtools/releases/tag/1.5
BWA/0.7.15-r1140 https://github.com/lh3/bwa/releases/tag/v0.7.15
java/1.8.0_252 https://www.oracle.com/java/technologies/javase/8all-relnotes.html
Picard Tools/2.23.8 https://github.com/broadinstitute/picard/releases/tag/2.23.8
PEAR/0.9.2 https://github.com/tseemann/PEAR
CAP3/02/10/15 http://seq.cs.iastate.edu/cap3.html

After intalling these tools, please make sure that their path have been added to you ".bashrc" script so that you can use them by typing the tool names in the terminal.

  1. Download and install Firstly, download and install the required resources. Then, tap these commands in your terminal:
pip install searcHPV

  1. Usage SearcHPV have four main steps. You could either run it start-to-finish or run it step-by-step.
  • Usage:
searcHPV <options> ...
  • Standard options:
 -fastq1 <str>  sequencing data: fastq/fq.gz file
 -fastq2 <str>  sequencing data: fastq/fq.gz file
 -humRef <str>  human reference genome: fasta file
 -virRef <str>  HPV reference genome: fasta file
  • Optional options:
-h, --help      show this help message and exit
-window <int>   the length of region searching for informative reads, default=300
-output <str>   output directory, default "./"
-alignment      run the alignment step, step1
-genomeFusion   call the genome fusion points, step2
-assemble local assemble for each integration event, step3
-hpvFusion call the HPV fusion points, step4

  • Examples:
  1. Run it start-to-finish:
searcHPV -fastq1 Sample_81279.R1.fastq.gz -fastq2 Sample_81279.R2.fastq.gz -humRef hs37d5.fa -virRef HPV.fa -output /home/scratch/HPV_fusion/Sample_81279

  1. Run it step-by-step:
searchHPV -align -fastq1 Sample_81279.R1.fastq.gz -fastq2 Sample_81279.R2.fastq.gz -humRef hs37d5.fa -virRef HPV.fa -output /home/scratch/HPV_fusion/Sample_81279
searchHPV -genomeFusion -fastq1 Sample_81279.R1.fastq.gz -fastq2 Sample_81279.R2.fastq.gz -humRef hs37d5.fa -virRef HPV.fa -output /home/scratch/HPV_fusion/Sample_81279
searchHPV -assemble -fastq1 Sample_81279.R1.fastq.gz -fastq2 Sample_81279.R2.fastq.gz -humRef hs37d5.fa -virRef HPV.fa -output /home/scratch/HPV_fusion/Sample_81279
searchHPV -hpvFusion -fastq1 Sample_81279.R1.fastq.gz -fastq2 Sample_81279.R2.fastq.gz -humRef hs37d5.fa -virRef HPV.fa -output /home/scratch/HPV_fusion/Sample_81279

Note: if run it step-by-step, please make sure the output directories for all steps are the same.

Output

  1. Alignment: the marked dupliaction alignment bam file and customized reference genome.\
  2. Genome Fusion Point Calling: orignal callset, filtered callset, filtered clustered callset.\
  3. Assemble: supportive reads, contigs for each integration events (unfiltered).\
  4. HPV fusion Point Calling: alignment bam file for contigs againt human and HPV genome.\ Final outputs are under the folder "call_fusion_virus": summary of all the integration events : "HPVfusionPointContig.txt" contig sequences for all the integration events: "ContigsSequence.fa"

Citation

SearcHPV: a novel approach to identify and assemble human papillomavirus-host genomic integration events in cancer --- In progress

Contact

wenjingu@umich.edu

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

searcHPV-1.0.2.tar.gz (20.6 kB view details)

Uploaded Source

Built Distributions

searcHPV-1.0.2-py3.7.egg (39.5 kB view details)

Uploaded Source

searcHPV-1.0.2-py3-none-any.whl (21.6 kB view details)

Uploaded Python 3

File details

Details for the file searcHPV-1.0.2.tar.gz.

File metadata

  • Download URL: searcHPV-1.0.2.tar.gz
  • Upload date:
  • Size: 20.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for searcHPV-1.0.2.tar.gz
Algorithm Hash digest
SHA256 2bd344e722c98cac1adf61b5915144605f38f5a29b442e1aa62f92211a065be5
MD5 2cb94c92ecd2ce1e809cfde1ad822e4f
BLAKE2b-256 bf5df48732053992df5cd85247ea1c0d943f7b148e5ebd337959480f2a590deb

See more details on using hashes here.

Provenance

File details

Details for the file searcHPV-1.0.2-py3.7.egg.

File metadata

  • Download URL: searcHPV-1.0.2-py3.7.egg
  • Upload date:
  • Size: 39.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for searcHPV-1.0.2-py3.7.egg
Algorithm Hash digest
SHA256 9531cac2a5b9b54621f4ad6c2098ccbdd374fb92900d90b6d93979090498c381
MD5 a2051079a540ee678abfb5265d1e377a
BLAKE2b-256 b7979679a24669f702351f057318682fbaa84d16db59f1c97bb36b5152ecb9f7

See more details on using hashes here.

Provenance

File details

Details for the file searcHPV-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: searcHPV-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 21.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3

File hashes

Hashes for searcHPV-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1eb270da5dd882d623de2cbcb41841c429dfe7e375955a2cd9b3eb1d163e7b4e
MD5 8ee55756350440cc90f74e6d2cc6b851
BLAKE2b-256 c05fe2f5fdf096d89dc0f877f0a348599b16d417bb7c7b5bafba61f523facb2e

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page