Skip to main content

Search a list of peptides in a fasta file (or proteome) and returns exact matches or hits with one mismatch

Project description

A useful tools to search a list of peptides in a fasta file (a list of proteins, or a proteome)

Description

This tool consists one module:

  • PeptideSearch: this tool searches for peptides in a fasta file including proteins, it can find Exact Match or Marches with up to One Mismatch

Installation

Normal installation

pip install PeptidesSearch

Upgrade installation

pip install PeptidesSearch --upgrade

Development installation

git clone https://github.com/khaledianehdieh/PeptidesSearch.git

Usage

python3
>>> from PeptideSearch import PeptideSearch as PS 
>>> P=PS.PeptideSearch(Peptides, Fasta_File) 
#Peptides is a List or a .txt file that has one peptide per line,
#and Fasta_File is a fasta file containing the proteins


#you might use the function as you need in three different ways:

#1- Find Exact Matches
>>> df_EM, pList= P.ExactMatch() #or df_EM, pList= P.ExactMatch(List_of_Peptides)
# returns all Exact Matches (df_EM) for each peptide and a list of 
#peptides (pList) that didn't find any


#2- Find One MisMatches
>>> peptides= P.read_Peptides()
df_OM, NotFoundList= P.OneMismatch(peptides) 
#returns all One  Mis Matches (df_OM) for each peptide 
#and list of peptides (NotFoundList) that couldn't find any match.


#3- Combine 1 and 2, first find a list of exacxt matches and then look 
#for one mismatch for the peptides that we didn't find any match

>>> df_all, NotFounPeptides = P.MatchFinder()   
#returns All Matches (df_all) including exact matches, and one mismatched 
#for each peptide and a list of peptides (NotFounPeptides) that couldn't 
#find any match. This part first applies the exact match, and if there is 
#not any exact match for a peptide, then it looks for one mismatch. 
#Also saves the result in a CSV file

#4- Find a peptide in one sequence
result,index=PS.PeptideSearch.SequenceSearch(peptide, sequence) 
# result=0 means exact match, result= 1 means one mismatch,  result= -1 
# means no match, and index is the start location of the peptide in the sequence.

Change log

[0.1] - 2021-08-02

  • Created

[0.2.1] - 2021-08-02

  • Added usage

[0.2.2] - 2021-08-02

-Added SequenceSearch()

[0.2.7] - 2021-08-02

-Added search for also a list passed as a parameter

[0.3.0] - 2021-08-02

-Added progress bar

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

PeptidesSearch-0.3.5.tar.gz (4.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

PeptidesSearch-0.3.5-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file PeptidesSearch-0.3.5.tar.gz.

File metadata

  • Download URL: PeptidesSearch-0.3.5.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for PeptidesSearch-0.3.5.tar.gz
Algorithm Hash digest
SHA256 2a9901a96ef1bf110e714c15cde396d4bbb9715e9925d054ac7a5e164d20f428
MD5 b391ab48c0b8e4f253c35aacf346490e
BLAKE2b-256 db0a6002bc021d5742b4c2d950db9964fe791a97cf487ec7a620fc8b71293ebc

See more details on using hashes here.

File details

Details for the file PeptidesSearch-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: PeptidesSearch-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.6.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5

File hashes

Hashes for PeptidesSearch-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ad546791d6de51bde676a5b57f9016beb063744a2ec9e68160dfb1bf62a718c6
MD5 137a93f28a3c1926788956e9bac5510e
BLAKE2b-256 eefb79c1fa07d79687b7866b92c29f292c650b7774716d8bf8f3fa99c5beea39

See more details on using hashes here.

Supported by

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