1. TSTA: thread and SIMD-based trapezoidal pairwise/multiple sequence-alignment method

    This article has 4 authors:
    1. Peiyu Zong
    2. Wenpeng Deng
    3. Jian Liu
    4. Jue Ruan
    This article has been curated by 1 group:
    • Curated by GigaByte

      Editors Assessment:

      The article presents strategies for accelerating sequence alignment using multithreading and SIMD (Single Instruction, Multiple Data) techniques, and introduces a new algorithm called TSTA (Thread and SIMD-Based Trapezoidal Pairwise/Multiple Sequence-Alignment). The Technical Release write-up presenting a detailed description of TSTA's performance in pairwise sequence alignment (PSA) and multiple sequence alignment (MSA), and compares it with various existing alignment algorithms. Demonstrating the performance gains achieved by vectorized SIMD technology and the application of threading. Testing and debugging a few errors, and adding some more background detail, demonstrating it can achieve faster comparison speed. Demonstrating TSTA's efficacy in pairwise sequence alignment and multiple sequence alignment, particularly with long reads, and showcasing considerable speed enhancements compared to existing tools.

      This evaluation refers to version 1 of the preprint

    Reviewed by GigaByte

    This article has 2 evaluationsAppears in 2 listsLatest version Latest activity
  2. Chromosome-level genome assembly and annotation of the crested gecko, Correlophus ciliatus, a lizard incapable of tail regeneration

    This article has 3 authors:
    1. Marc A. Gumangan
    2. Zheyu Pan
    3. Thomas P. Lozito
    This article has been curated by 1 group:
    • Curated by GigaByte

      Editors Assessment:

      The crested gecko (Correlophus ciliatus), is a lizard species endemic to New Caledonia, and a potentially interesting model organism due to its unusual (for a gecko) inability to regenerate amputated tails. With that in mind here is presented a new reference genome for the species, assembled using PacBio Sequel II platform and Dovetail Omni-C libraries. Producing a genome with a total size of 1.65 Gb, 152 scaffolds, a L50 of 6, and N50 of 109 Mb. Peer review making sure more detail was added on data acquisition and processing to enhance reproducibility. In the end producing potentially useful data for studying the genetic mechanisms involved in loss of tail regeneration.

      This evaluation refers to version 1 of the preprint

    Reviewed by GigaByte

    This article has 2 evaluationsAppears in 2 listsLatest version Latest activity
  3. NucBalancer: streamlining barcode sequence selection for optimal sample pooling for sequencing

    This article has 2 authors:
    1. Saurabh Gupta
    2. Ankur Sharma
    This article has been curated by 1 group:
    • Curated by GigaByte

      Editors Assessment:

      This paper presents NucBalancer, a R-pipeline and Shiny app designed for the optimal selection of barcode sequences for sample multiplexing in sequencing. Providing a user-friendly interface aiming to make this process accessible to both bioinformaticians and experimental researchers, enhancing its utility in adapting libraries prepared for one sequencing platform to be compatible with others. Important now with the introduction of additional sequencing platforms by Element Biosciences (AVITI System) and Ultima Genomics (UG100) increasing the diversity and capability of genomic research tools available. NucBalancer’s incorporation of dynamic parameters, including customizable red flag thresholds, allows for precise and practical barcode sequencing strategies. This adaptability is key in ensuring uniform nucleotide distribution, particularly in MGI sequencing and single-cell genomic studies, leading to more reliable and cost-effective sequencing outcomes across various experimental conditions. All the code is available under an open source license, and upon review the authors have also shared the code for the Shiny app.

      This evaluation refers to version 1 of the preprint

    Reviewed by GigaByte

    This article has 2 evaluationsAppears in 2 listsLatest version Latest activity
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