BioHub is a comprehensive collection of essential bioinformatics tools and scripts designed to simplify and streamline common tasks in biological data analysis. This repository serves as a central resource for researchers, students, and professionals in the field of bioinformatics, providing easy access to a wide range of functionalities.
- Sequence Alignment: Tools for aligning DNA, RNA, and protein sequences to identify regions of similarity. These tools support pairwise and multiple sequence alignments using algorithms such as Needleman-Wunsch, Smith-Waterman, and ClustalW.
- Motif Discovery: Utilities for discovering conserved motifs within sequences, which can indicate functional elements like transcription factor binding sites.
- Sequence Manipulation: Scripts for basic operations on sequences, including translation, reverse complement, and sequence extraction based on specified criteria.
- Genome Assembly: Scripts for assembling short reads into longer contiguous sequences (contigs) and scaffolds. Includes tools for error correction and quality assessment.
- Genome Annotation: Utilities for annotating genomic features such as genes, regulatory elements, and repeat regions. Includes integration with databases like NCBI and Ensembl.
- Variant Analysis: Tools for detecting and analyzing genetic variants (SNPs, indels) from sequencing data. Supports variant calling, filtering, and annotation.
- Protein Structure Prediction: Tools for predicting the three-dimensional structures of proteins based on their amino acid sequences. Includes homology modeling and ab initio prediction methods.
- Peptide Analysis: Utilities for analyzing peptide sequences, including cleavage prediction, peptide mass calculation, and peptide property prediction.
- Mass Spectrometry Data Processing: Scripts for processing mass spectrometry data, including peak detection, spectral matching, and quantification of peptides and proteins.
- Plotting Functions: Functions for creating various types of plots, including scatter plots, bar charts, heatmaps, and sequence logos. These tools facilitate the visual exploration of biological data.
- Genome Browsers: Utilities for visualizing genomic data in the context of a genome browser, allowing for interactive exploration of genomic regions and annotations.
- 3D Structure Visualization: Tools for visualizing protein and nucleic acid structures in three dimensions, supporting formats like PDB and CIF.
- Statistical Tests: Implementations of common statistical tests used in bioinformatics, including t-tests, chi-square tests, and Fisher's exact test.
- Regression Analysis: Tools for performing linear and logistic regression analyses on biological data, helping to uncover relationships between variables.
- Survival Analysis: Utilities for conducting survival analysis, including Kaplan-Meier estimation and Cox proportional hazards modeling, often used in clinical and genomic studies.
- Tree Construction: Tools for constructing phylogenetic trees from sequence data using methods such as neighbor-joining, maximum likelihood, and Bayesian inference.
- Tree Visualization: Utilities for visualizing and annotating phylogenetic trees, allowing for the exploration of evolutionary relationships.
- Comparative Genomics: Scripts for comparing genomes across different species to identify conserved and divergent regions, supporting studies on evolutionary biology.
- Multi-Omics Integration: Scripts for integrating data from multiple omics layers (e.g., genomics, transcriptomics, proteomics) to provide a comprehensive view of biological systems.
- Database Connectivity: Tools for connecting to and querying popular biological databases, including Ensembl, NCBI, and UniProt.
- Format Conversion: Scripts for converting between different bioinformatics file formats, such as FASTA, FASTQ, GFF, BED, VCF, and SAM/BAM.
- Data Normalization: Tools for normalizing biological data, addressing batch effects, and preparing data for downstream analysis.
- Annotation Conversion: Utilities for converting between different annotation formats and integrating annotations from multiple sources.
To get started with BioHub, clone the repository and explore the various directories and scripts. Detailed documentation and usage examples are provided for each tool to help you quickly integrate them into your workflows.
git clone https://github.com/IkramInf/BioHub.git
We welcome contributions from the bioinformatics community! If you have a tool or script that you think would be a valuable addition to BioHub, please submit a pull request. For major changes, please open an issue first to discuss your ideas.
This project is licensed under the MIT License - see the LICENSE file for details.