Gajendra P.S. Raghava (@raghavagps)
github

raghavagps

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    124
  • Global Rank 177,055 (Top 7 %)
  • Followers 44
  • Following 2
  • Registered about 7 years ago
  • Most used languages
    Python
         66.7 %
    Jupyter Notebook
         10.0 %
    Perl
         10.0 %
    PureBasic     6.7 %
    R
         3.3 %
    HTML
         3.3 %
  • Location 🇮🇳 India
  • Country Total Rank 9,198
  • Country Ranking
    Perl
         13
    PureBasic     23
    Python
         1,028
    R
         1,129
    Jupyter Notebook
         9,324

Top repositories

1

Pfeature

A software package for computing features of peptides and proteins
Python
53
star
2

toxinpred2

An improved method for predicting toxicity of proteins
Perl
10
star
3

anticp2

AntiCP2 is an updated version of AntiCP developed for predicting, designing and scanning anticancer peptides.
Python
9
star
4

toxinpred3

An improved method for predicting toxicity of the peptides and designing of non-toxic peptides
Python
7
star
5

algpred2

A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
Perl
5
star
6

transfacpred

An ensemble method for predicting transcription factor in protein sequences
Python
4
star
7

FluSPred

Prediction infectious strains of Influenza A virus for human
Python
3
star
8

thppred

Prediction therapeutic peptides and proteins using machine learning techniques
Python
2
star
9

il13pred

A method for predicting cytokine IL-13 inducing peptides
Python
2
star
10

clbtope

An ensemble method for predicting linear and conformational B-cell epitope
Python
2
star
11

il6pred

In silico model for predicting of Interleukin-6 inducing peptides
Python
2
star
12

exopropred

An ensemble method for predicting proteins secreted via exosomes
Python
2
star
13

ifnepitope2

Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
Python
2
star
14

mutation_bench

Benchmarking of mutation calling techniques by developing classification and regresion prediction models to predict the high-risk cancer patients.
Perl
2
star
15

phagetb

A multi-level prediction of interaction between bacteriophages and pathogenic bacterial hosts
Python
2
star
16

il5pred

Machine learning based method for predicting and scanning IL-5 inducing petides
Python
2
star
17

drderma

Jupyter Notebook
1
star
18

mrslpred

In silico method for predicting subcellular localisation of mRNA sequences
Python
1
star
19

hoppred

Python
1
star
20

AntiBP3

An improved method for predicting of antibacterial peptides using machine learning yechniques
Python
1
star
21

Chakit_Thesis

R
1
star
22

hlancpred

A method for predicting promiscuous non-classical HLA binding sites in an antigen
Python
1
star
23

AlzScPred

Identification of Biomarkers of Alzheimer's from Single cell genome
PureBasic
1
star
24

sambinder

A method for predicting SAM interacting residues in a protein
Python
1
star
25

HNSCPred

A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.
PureBasic
1
star
26

Cancer_Review

This site provides complete information on a review written on cancer resoureces
1
star
27

pprint2

An improved method for predicting RNA-interacting residues in a protein
Python
1
star
28

CovXpred

Jupyter Notebook
1
star
29

LHSpred

Jupyter Notebook
1
star
30

hladr4pred2

An improved method for predicting binders of HLA-DRB1-04:01
Python
1
star
31

raghavagps.github.io

Home Page of Prof G P S Raghava, group work in the field of bioinformatics, chemoinformatics and pharmacoinformatics. Mainly developed databases and prediction methods using machine learning techniques
HTML
1
star