Rahul Nayak
A Bioinformatician
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FiNGS: Filters for Next Generation Sequencing
By Neel 1376 days agogithub.com - Key features Filters SNVs from any variant caller to remove false positives Calculates metrics based on BAM files and provides filtering not possible with other tools Fully user-configurable filtering (including which filters to use and their...Qualimap2: Evaluating next generation sequencing alignment data
By Jit 2276 days agoqualimap.bioinfo.cipf.es - Qualimap 2 is a platform-independent application written in Java and R that provides both a Graphical User Inteface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data and its derivatives like...Flye: Fast and accurate de novo assembler for single molecule sequencing reads
By BioJoker 2073 days agogithub.com - Flye is a de novo assembler for single molecule sequencing reads, such as those produced by PacBio and Oxford Nanopore Technologies. It is designed for a wide range of datasets, from small bacterial projects to large mammalian-scale assemblies. The...MitoZ: a toolkit for animal mitochondrial genome assembly, annotation and visualization
By Jit 1776 days agogithub.com - MitoZ is a Python3-based toolkit which aims to automatically filter pair-end raw data (fastq files), assemble genome, search for mitogenome sequences from the genome assembly result, annotate mitogenome (genbank file as result), and mitogenome...AfterQC: Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
By Jit 2350 days ago Comments (1)github.com - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC...EXCAVATOR: detecting copy number variants from whole-exome sequencing data
By Radha Agarkar 2161 days agosourceforge.net - EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov model algorithm and a calling method that classifies...nQuire: A statistical framework for ploidy estimation using NGS short-read data
By Jit 2134 days agogithub.com - nQuire implements a set of commands to estimate ploidy level of individuals from species, where recent polyploidization occurred and intraspecific ploidy variation is observed. Specifically, nQuire uses next-generation sequencing data to distinguish...LoFreq*: A sequence-quality aware, ultra-sensitive variant caller for NGS data
By BioStar 1751 days agocsb5.github.io - LoFreq* (i.e. LoFreq version 2) is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It makes full use of base-call qualities and other sources of errors inherent in sequencing (e.g. mapping or...McClintock: Meta-pipeline to identify transposable element insertions using next generation...
By BioStar 1500 days agogithub.com - an integrated bioinformatics pipeline for the detection of TE insertions in whole-genome shotgun data, called McClintock (https://github.com/bergmanlab/mcclintock), which automatically runs and standardizes output for multiple TE detection methods....Platypus: A Haplotype-Based Variant Caller For Next Generation Sequence Data
By Shruti Paniwala 2232 days agowww.well.ox.ac.uk - Platypus is a tool designed for efficient and accurate variant-detection in high-throughput sequencing data. By using local realignment of reads and local assembly it achieves both high sensitivity and high specificity. Platypus can detect...
