Novoalign
Novoalign aligns short and long reads from Illumina, IonTorrent, and 454 next-generation sequencing platforms to reference genomes for accurate read mapping used in downstream analyses such as variant detection and RNA-seq.
Key Features:
- Versatility Across Platforms: Supports reads from Illumina, IonTorrent, and 454 sequencing platforms.
- High Sensitivity: Demonstrates high sensitivity mapping short reads (e.g., 36bp, 50bp, 72bp) and long reads (>100bp), including complex genomes such as Plasmodium falciparum.
- Proper Pairing of Reads: Aligns paired-end reads with emphasis on proper pairing to support accurate variant detection and transcript quantification.
- Benchmarking Performance: Has been benchmarked against aligners such as BWA and Bowtie2 for alignment time, sensitivity, and handling of tandem repeats, showing balanced performance across read lengths and genome complexities.
Scientific Applications:
- RNA-seq Analysis: Provides accurate alignments required as input for RNA-seq pipelines and downstream expression and splicing analyses.
- Genomic Research: Enables detection of polymorphisms and other genetic variation by mapping reads to reference genomes.
- Medical Diagnostics: Facilitates identification of clinically relevant genomic alterations through precise read alignment.
Methodology:
Novoalign employs an indexing strategy of the reference genome instead of building hash tables for reads.
Topics
Collections
Details
- License:
- Proprietary
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++, C
- Added:
- 8/20/2017
- Last Updated:
- 4/26/2021
Operations
Publications
Thankaswamy-Kosalai S, Sen P, Nookaew I. Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics. Genomics. 2017;109(3-4):186-191. doi:10.1016/j.ygeno.2017.03.001. PMID:28286147.
Caboche S, Audebert C, Lemoine Y, Hot D. Comparison of mapping algorithms used in high-throughput sequencing: application to Ion Torrent data. BMC Genomics. 2014;15(1):264. doi:10.1186/1471-2164-15-264. PMID:24708189. PMCID:PMC4051166.
Hatem A, Bozdağ D, Toland AE, Çatalyürek ÜV. Benchmarking short sequence mapping tools. BMC Bioinformatics. 2013;14(1). doi:10.1186/1471-2105-14-184. PMID:23758764. PMCID:PMC3694458.
Baruzzo G, Hayer KE, Kim EJ, Di Camillo B, FitzGerald GA, Grant GR. Simulation-based comprehensive benchmarking of RNA-seq aligners. Nature Methods. 2016;14(2):135-139. doi:10.1038/nmeth.4106. PMID:27941783. PMCID:PMC5792058.