Farhat Laboratory (farhat-lab)

Farhat Laboratory

farhat-lab

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TB Genetics Bioinformatics

Location:Boston, MA

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Farhat Laboratory's repositories

wdnn

Wide and Deep Neural Net for predicting TB resistance from genotypic data

gentb-site

The genTB project, the Django site, variant calling and prediciton pipeline, and mapping pipeline with hooks to two ravens

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mtb-illumina-wgs-evaluation

Repository for analysis of Benchmarking the accuracy of short-read sequencing across the M. tuberculosis genome, 2022, Bioinformatics.

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resdata-ng

DB of MTB resistance data and isolate metadata

megapipe

A wrapper pipe for variant calling and genome assembly for M.tuberculosis

metatools_ncbi

Download biosample and SRA runinfo metadata from NCBI

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who-analysis

Code used for WHO analysis work

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GenotypeTools

Python code for reading, writing, and analyzing genotypes in various file formats

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gentb-snakemake

From FASTQ file to antibiotic resistance prediction using RandomForest - the GenTB pipeline wrapped in snakemake

phase-variation-in-Mtbc

Jupyter Notebooks used in data analysis for "Phase variation as a major mechanism of adaptation in Mycobacterium tuberculosis complex" (Vargas et al. 2023)

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AISC610_darwinian_medicine

Practical exercises for the Darwinian Medicine class of the AISC610 course

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analysis_pipeline

Pipeline that takes user country-lineage-drug queries and output SNP alignment/BEAST tree output

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epistasis-KAN-BDQ-Mtbc-resistance

Jupyter Notebooks used in data analysis for "The role of epistasis in amikacin, kanamycin, bedaquiline, and clofazimine resistance in Mycobacterium tuberculosis complex" (Vargas et al. 2021)

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EVcouplings

Evolutionary couplings from protein and RNA sequence alignments

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geo_dist_tb

Place to store code used for manuscript

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in-host-Mtbc-dynamics

Jupyter Notebooks used in data analysis for "In-host population dynamics of Mycobacterium tuberculosis complex during active disease" (Vargas et al. 2021)

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mtb-pg-benchmarking-2024paper

All code for data processing and analysis described in "Analysis of the limited M. tuberculosis pangenome reveals potential pitfalls of pan-genome analysis approaches" (Marin-2024)

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Non-tuberculous-Mycobacteria-Chart-Review

Variable extraction for partners health system .txt file format database to dataframe for analysis in python or R.

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peru_cluster

Code used for analysis of Peru cluster

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pyfasta

fast, memory-efficient, pythonic (and command-line) access to fasta sequence files

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