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SwinePan for pig graph-based pangenome and multiomics data mining.

Pigs are one of the most important livestock species worldwide. Although multiple high-quality reference genomes exist, reliance on a single linear reference limits the detection of structural variants (SVs) and the characterization of population-specific genetic diversity. To address this limitation, we developed SwinePan, a comprehensive and integrated multiomics database for pigs built on a graph-based pangenome framework. SwinePan incorporates a variome derived from the graph-based pangenome, covering 2,598 individuals across 35 breeds, including 185,759 SVs, 117 million SNPs, and 6.8 million indels. The database also integrates transcriptomic data from liver, loin muscle, abdominal fat, and backfat, along with over 150,000 phenotypic records. The online toolkit deployed in SwinePan enables genome-wide association studies (GWAS), expression quantitative trait locus (eQTL) mapping, and colocalization, while interactive modules visualize population structure and multiomics associations, streamlining candidate gene and variant exploration. Additionally, two proof-of-concept analyses demonstrate how SwinePan pinpoints trait-associated loci and deciphers their potential regulatory mechanisms.

Journal Article↗

An enhanced multisegment RT-PCR method for influenza A virus sequencing: Improved performance and reduced preparation time over traditional methods.

Influenza A viruses (IAVs) remain a major global health threat, affecting both human and animal populations. Whole-genome sequencing is essential for monitoring viral evolution, zoonotic transmission, and emerging variants. However, conventional RT-PCR methods often result in incomplete gene coverage, amplification biases, and reduced sequencing accuracy, particularly in clinical samples. We developed a robust In-house method for IAV full-genome sequencing using the Oxford Nanopore Technologies (ONT) long-read sequencing platform. This method integrates an in-house multisegment Reverse Transcription PCR (RT-PCR) method with a streamlined 2-pool primer design targeting all eight IAV gene segments. RNA extracted from clinical and stock virus samples was reverse-transcribed and amplified using Superscript IV-based chemistry, followed by magnetic bead purification to ensure high-quality amplicons. Sequencing libraries were prepared with the Native Barcoding Kit 24 (SQK-NBD114.24) and sequenced on R10.4.1 flow cells on the MinION MK1C device. Data analysis using the Iterative Refinement Meta-Assembler (IRMA) confirmed improved read depth, uniform coverage, and complete genome recovery. Compared to conventional methods, our In-House Multisegment 2-Pool (IH-MS2P) RT-PCR method generated higher numbers of matched read counts, minimized chimeric artifacts, and delivered superior genome coverage across human, swine, and avian isolates. This optimized RT-PCR method provides a high-performance, time-efficient, and portable solution for influenza genomics, demonstrating robust applicability even with clinical samples of low RNA yield.

Influenza A virus↗

Xenopus, the next generation: X. tropicalis genetics and genomics.

A small, fast-breeding, diploid relative of the frog Xenopus laevis, Xenopus tropicalis, has recently been adopted for research in developmental genetics and functional genomics. X. tropicalis shares advantages of X. laevis as a classic embryologic system, but its simpler genome and shorter generation time make it more convenient for multigenerational genetic, genomic, and transgenic approaches. Its embryos closely resemble those of X. laevis, except for their smaller size, and assays and molecular probes developed in X. laevis can be readily adapted for use in X. tropicalis. Genomic manipulation techniques such as gynogenesis facilitate genetic screens, because they permit the identification of recessive phenotypes after only one generation. Stable transgenic lines can be used both as in vivo reporters to streamline a variety of embryologic and molecular assays, or to experimentally manipulate gene expression through the use of binary constructs such as the GAL4/UAS system. Several mutations have been identified in wild-caught animals and during the course of generating inbred lines. A variety of strategies are discussed for conducting and managing genetic screens, obtaining mutations in specific sequences, achieving homologous recombination, and in developing and taking advantage of the genomic resources for Xenopus tropicalis.

Animals↗

Gencube: centralized retrieval and integration of multi-omics resources from leading databases.

MOTIVATION: The volume of multi-omics data for diverse species is growing at an unprecedented rate, with new genome assemblies, related annotations, and high-throughput sequencing resources being submitted daily to various genomic data repositories. In response to this data influx, both existing and new databases are establishing optimized hierarchical structures to manage the vast amount of information. However, the lack of accessible command-line tools, combined with the functional limitations and unintuitive design of existing options, presents significant challenges for researchers. This gap underscores a critical need for a tool that enables streamlined retrieval and integration of omics data across these diverse repositories. RESULTS: We have developed Gencube, a command-line tool that enables centralized retrieval and integration of a comprehensive set of six different data types-genome assemblies, gene sets, annotations, sequences, comparative genomic data, and NGS-based omics resources-from various leading databases. AVAILABILITY AND IMPLEMENTATION: Gencube is a free and open-source tool, with its code available on GitHub: https://github.com/snu-cdrc/gencube and also archived on Zenodo: https://doi.org/10.5281/zenodo.14607649.

Databases, Genetic↗

A streamlined process to phenotypically profile heterologous cDNAs in parallel using yeast cell-based assays.

To meet the demands of developing lead drugs for the profusion of human genes being sequenced as part of the human genome project, we developed a high-throughput assay construction method in yeast. A set of optimized techniques allows us to rapidly transfer large numbers of heterologous cDNAs from nonyeast plasmids into yeast expression vectors. These high- or low-copy yeast expression plasmids are then converted quickly into integration-competent vectors for phenotypic profiling of the heterologous gene products. The process was validated first by testing proteins of diverse function, such as p38, poly(ADP-ribose) polymerase-1, and PI 3-kinase, by making active-site mutations and using existing small molecule inhibitors of these proteins. For less well-characterized genes, a novel random mutagenesis scheme was developed that allows a combination selection/screen for mutations that retain full-length expression and yet reverse a growth phenotype in yeast. A broad range of proteins in different functional classes has been profiled, with an average yield for growth interference phenotypes of approximately 30%. The ease of manipulation of the yeast genome affords us the opportunity to approach drug discovery and exploratory biology on a genomic scale and shortens assay development time significantly.

Amino Acid Sequence↗

Alternative strategies in drug development: clinical pharmacological aspects.

Due to the continuous increase in time and cost of drug development and the considerable amount of resources required by the traditional approach, companies can no longer afford to continue to late phase 3 with drugs which are unlikely to be therapeutically effective. The future challenge must be for the pharmaceutical industry to slash its research and development costs by achieving a significant cut in the attrition rate for drugs entering preclinical and clinical development, and to reduce the development time and to increase the probability of success in later clinical trials by streamlining the development processes. In the 100 years to 1995, the pharmaceutical industry worked on about 500 targets with a limited number of compounds, whereas now, using new technologies like genomics, high throughput screening and combinatorial chemistry, drug companies will see an explosion in the number of targets and leads it can explore. Therefore, a tough selection process for picking candidate compounds out of research and a quick kill process for the candidate, which does not measure up in advanced trials, is mandatory to avoid wasting time, energy and money. To improve the transition from research to development it is necessary to validate new targets, define success criteria for research, integrate bioinformation at every stage in drug discovery, define prerequisites for development, identify the "losers" and select the "winners" early and concentrate efforts on them, and to automate the research and development (R&D) process to optimize resource requirements versus time lines and to ensure effective flow of information from drug discovery to late phase of development. In drug development a deeper understanding of a drugs' action is necessary from animal models and phase I, IIa studies prior to taking the drug further in development. Instead of moving from discovery thorough development phases in sequential steps, drug development should be streamlined combining preclinical and early clinical development as an exploratory stage and phases IIb, III as a confirmatory stage. Preclinical and clinical-pharmacological studies in the exploratory stage of drug development should be designed for decision making in contrast to later clinical trials that require power for proof-of-safety and efficacy. Strategies to improve the quality of decisions in drug development are: the use and integration of new tools and technologies such as pharmacogenomics to improve our knowledge about the origin of the disease and to identify new therapeutic strategies; modelling and simulation of preclinical and clinical trials to bridge the gap between the early stages of the development of a new drug and its potential effects in humans; more sophisticated clinical pharmacokinetics to answer the question if the drug is present at the disease site for a sufficient time and to provide information on concentration-effect-relationships; selecting and evaluating surrogates/biomarkers for safety and efficacy; involvement of the target population as soon as possible; using information technologies to make better use of existing data. The more thorough and profound studies have been carried out during this exploratory stage of development, the earlier a decision can be made on the continuation or discontinuation of further development, thus saving development time and money and assessing and considerably reducing the risk for the patients and increasing the success-rate of the project in the later confirmatory effectiveness trial. Taking responsibility as the link between research and development gives clinical pharmacology a major opportunity to assume a pivotal role in research and development of new drugs. To reach this goal, clinical pharmacology must be fully integrated in the whole process from the candidate selection to its approval.

Chemistry, Pharmaceutical↗

Multiple sample amplification and genotyping integrated on a single electronic microarray.

We report a novel method that allows simultaneous in situ amplification and then genotyping of single nucleotide polymorphism (SNP) for multiple samples on a single electronic microarray. The locus coding for one of the common inherited thrombosis risk factors, Factor V Leiden (FVL), was chosen as a model system for SNP analysis. This method combines strand displacement amplification (SDA) with electrophoretic movement and concentration of DNA on electronic microarrays to provide a single platform for DNA amplification and analysis. The method includes: electronic anchoring of allele-specific SDA amplifiable primers (APs) and a nonamplifiable primer (NAP) to different electrodes, electronic hybridization of genomic DNA from different samples to those primers, in situ amplification of target DNA, and genotyping of FVL. Compared to previous anchored SDA methods, the addition of a NAP improves detection signals by at least 20-fold. The sensitivity of this method is dependent on the amplification time. Using this method, nine different genomic DNA samples with known FVL genotypes were amplified and correctly genotyped on a single electronic microarray without any contamination between samples. The present method could streamline development of nucleic acid-based assays in applications of molecular diagnostic, point-of-care testing, and forensic detection, which often require the capability to analyze multiple samples efficiently.

Base Sequence↗

dcHiChIP: a comprehensive Nextflow-based pipeline for multiscale analysis of chromatin architecture from HiChIP data.

MOTIVATION: Despite the growing use of HiChIP to investigate protein-directed chromatin architecture, a comprehensive and reproducible pipeline for analysing these datasets-from raw reads to multiscale 3D genome features-remains lacking. Existing tools often focus on isolated components, such as loop calling or matrix generation, but fall short in integrating structural annotation, functional enrichment, and spatial modeling within a unified framework. To address this gap, we developed dcHiChIP, a modular, scalable Nextflow-based workflow that streamlines the analysis of HiChIP data, enabling both routine processing and in-depth exploration of chromatin organization and regulatory interactions. RESULTS: dcHiChIP enables robust and reproducible analysis of HiChIP datasets across multiple scales of chromatin architecture. It accepts raw sequencing data as input and generates high-quality loop calls, domain annotations, and 3D genome models. It also performs functional annotation and motif enrichment analyses. Applied to benchmark CTCF HiChIP datasets, dcHiChIP identifies major chromatin architectural features such as TADs/CCDs, A/B compartments, and chromatin stripes, and offers efficient, end-to-end execution with support for batch processing and workflow resumability. AVAILABILITY: dcHiChIP is publicly available on GitHub at https://github.com/SFGLab/dcHiChIP, with documentation at https://sfglab.github.io/dcHiChIP/. The software version used in this study is archived at Zenodo: https://doi.org/10.5281/zenodo.22030542.

Chromatin↗

ESTminer: a suite of programs for gene and allele identification.

UNLABELLED: ESTminer is a collection of programs that use expressed sequence tag (EST) data from inbred genomes to identify unique genes within gene families. The algorithm utilizes Cap3 to perform an initial clustering of related EST sequences to produce a consensus sequence of a gene family. These consensus sequences are then used to collect all ESTs in the original EST library that are related using BLAST. A redundancy based criterion is applied to each EST to identify reliable unique gene-sequences. Using a highly inbred genome as a source of ESTs eliminates the necessity of computing covariance on each polymorphism to identify alleles of the same gene, thus making this algorithm more streamlined than other alternatives which must computationally attempt to distinguish genes from alleles. AVAILABILITY: The programs were written in PERL and are freely available at http://www.soybase.org/publication_data/Nelson/ESTminer/ESTminer.html CONTACT: nelsonrt@iastate.edu SUPPLEMENTARY INFORMATION: Figures and dataset can be obtained from: http://www.soybase.org/publication_data/Nelson/ESTminer/ESTminer.html.

Algorithms↗

AdDeam: a fast and scalable tool for estimating and clustering reference-level damage profiles.

MOTIVATION: DNA damage patterns, such as increased frequencies of C→T and G→A substitutions at fragment ends, are widely used in ancient DNA studies to assess authenticity and detect contamination. In metagenomic studies, fragments can be mapped against multiple references or de novo assembled contigs to identify those likely to be ancient. Generating and comparing damage profiles, however, can be both tedious and time-consuming. Although tools exist for estimating damage in single reference genomes and metagenomic datasets, none efficiently cluster damage patterns. RESULTS: To address this methodological gap, we developed AdDeam, a tool that combines rapid damage estimation with clustering for streamlined analyses and easy identification of potential contaminants or outliers. Our tool takes aligned ancient DNA (aDNA) fragments from various samples or contigs as input, computes damage patterns, clusters them, and outputs representative damage profiles per cluster, a probability of each sample pertaining to a cluster, as well as a Principal Component Analysis of the damage patterns for each sample for fast visualisation. We evaluated AdDeam on both simulated and empirical datasets. AdDeam effectively distinguishes different damage levels, such as uracil-DNA glycosylase-treated samples, sample-specific damages from specimens of different time periods, and can also distinguish between contigs containing modern or ancient fragments, providing a clear framework for aDNA authentication and facilitating large-scale analyses. AVAILABILITY AND IMPLEMENTATION: AdDeam is publicly available at https://github.com/LouisPwr/AdDeam and can also be installed via Bioconda. It is implemented in Python and C++. All analysis scripts and datasets are available at https://github.com/LouisPwr/AdDeamAnalysis and on Zenodo under: 10.5281/zenodo.15052427.

Software↗

SeqHound: biological sequence and structure database as a platform for bioinformatics research.

BACKGROUND: SeqHound has been developed as an integrated biological sequence, taxonomy, annotation and 3-D structure database system. It provides a high-performance server platform for bioinformatics research in a locally-hosted environment. RESULTS: SeqHound is based on the National Center for Biotechnology Information data model and programming tools. It offers daily updated contents of all Entrez sequence databases in addition to 3-D structural data and information about sequence redundancies, sequence neighbours, taxonomy, complete genomes, functional annotation including Gene Ontology terms and literature links to PubMed. SeqHound is accessible via a web server through a Perl, C or C++ remote API or an optimized local API. It provides functionality necessary to retrieve specialized subsets of sequences, structures and structural domains. Sequences may be retrieved in FASTA, GenBank, ASN.1 and XML formats. Structures are available in ASN.1, XML and PDB formats. Emphasis has been placed on complete genomes, taxonomy, domain and functional annotation as well as 3-D structural functionality in the API, while fielded text indexing functionality remains under development. SeqHound also offers a streamlined WWW interface for simple web-user queries. CONCLUSIONS: The system has proven useful in several published bioinformatics projects such as the BIND database and offers a cost-effective infrastructure for research. SeqHound will continue to develop and be provided as a service of the Blueprint Initiative at the Samuel Lunenfeld Research Institute. The source code and examples are available under the terms of the GNU public license at the Sourceforge site http://sourceforge.net/projects/slritools/ in the SLRI Toolkit.

Amino Acid Sequence↗

Fast drops: a high-throughput approach for setting up protein crystal screens.

There is significant demand to rapidly obtain protein structure information for both structural genomics and drug discovery applications. To meet this demand, all steps in the process of determining protein structure by X-ray crystallography need to be optimized and streamlined with high-throughput methodologies. This communication describes a method that brings high-throughput technology to protein crystallization in both manual and automated modes, suitable for virtually every crystallography laboratory.

Crystallization↗

Challenges and strategies of the Genetics Home Reference.

OBJECTIVE: This paper focuses on the first two years of operation of Genetics Home Reference (GHR), a Web-based resource for the general public that helps to explain the health implications of findings from the Human Genome Project. METHODS AND FINDINGS: Key challenges of Web-based consumer health communication encountered in the growth and maintenance of GHR are discussed: prioritizing topics for GHR, streamlining the development process while keeping genetic information accurate, and designing a system that helps consumers navigate complex genetic relationships. Various strategies are used to address these challenges. Tying content development to topics of national priority and addressing topics requested by users makes the site increasingly important for both consumers and health professionals. Informatics methods are essential for quality control, particularly for genetic information that changes frequently. Indexing and hierarchical browsing features help to facilitate navigation. CONCLUSIONS: GHR is a credible, dynamic Website that uses lay language to explain the effects of genetic variation on human health. Informatics strategies are key to effective management of a large and expanding body of genetics information. Feedback from formal and informal sources indicates increasing usage and favorable acceptance of GHR.

Databases as Topic↗

PCR-mediated repeated chromosome splitting in Saccharomyces cerevisiae.

Chromosome engineering is playing an increasingly important role in the functional analysis of genomes. A simple and efficient technology for manipulating large chromosomal segments is key to advancing these analyses. Here we describe a simple but innovative method to split chromosomes in Saccharomyces cerevisiae, which we call PCR-mediated chromosome splitting (PCS). The PCS method combines a streamlined procedure (two-step PCR and one transformation per splitting event) with the CreAoxP system for marker rescue. Using this novel method, chromosomes I (230 kb) and XV (1091 kb) of a haploid cell were split collectively into 10 minichromosomes ranging in size from 29-631 kb with high efficiency (routinely 80%) that were occasionally lost during mitotic growth in various combinations. These observations indicate that the PCS method provides an efficient tool to engineer the yeast genome and may offer a possible approach to identify minimal genome constitutions as a function of culture conditions through further splitting, followed by combinatorial loss of minichromosomes.

Blotting, Southern↗

Identification of ATM mutations using extended RT-PCR and restriction endonuclease fingerprinting, and elucidation of the repertoire of A-T mutations in Israel.

Ataxia-telangiectasia (A-T) is an autosomal recessive disorder characterized by neurodegeneration, immunodeficiency, cancer predisposition, and radiation sensitivity. The responsible gene, ATM, has an extensive genomic structure and encodes a large transcript with a 9.2 kb open reading frame (ORF). A-T mutations are extremely variable and most of them are private. We streamlined a high throughput protocol for the search for ATM mutations. The entire ATM ORF is amplified in a single RT-PCR step requiring a minimal amount of RNA. The product can serve for numerous nested PCRs in which overlapping portions of the ORF are further amplified and subjected to restriction endonuclease fingerprinting (REF) analysis. Splicing errors are readily detectable during the initial amplification of each portion. Using this protocol, we identified 5 novel A-T mutations and completed the elucidation of the molecular basis of A-T in the Israeli population.

Ataxia Telangiectasia↗

Both the 5' and 3' LTRs of FIV contain minor RNA encapsidation determinants compared to the two core packaging determinants within the 5' untranslated region and gag.

This study was undertaken to address the role of feline immunodeficiency virus (FIV) long terminal repeats (LTR) as potential packaging determinants. A number of studies in the recent past have clearly demonstrated that the core packaging determinants of FIV reside within at least two distinct regions at the 5' end of the viral genome, from R in the 5' LTR to approximately 150 bp within the 5' untranslated region (5' UTR) and within the first 100 bp of gag; however, there have been conflicting observations as to the role of the LTR regions in packaging and whether they contain the principal packaging determinants of FIV. Using a semi-quantitative RT-PCR approach on heterologous non-viral vector RNAs in an in vivo packaging assay, this study demonstrates that the principal packaging determinants of FIV reside within the first 150 bp of 5' UTR and 100 bp of gag (the two core regions) and not the viral 5' LTR. Furthermore, it shows that in addition to the 5' LTR, the 3' LTR also contains packaging determinants, but of a less significant nature compared to the core packaging determinants. This study defines the relative contribution of the various regions implicated in FIV genomic RNA packaging, and reveals that like other primate lentiviruses, the packaging determinants of FIV are multipartite and spread out, an observation that has implications for safer and more streamlined design of FIV-based gene transfer vectors.

3' Untranslated Regions↗

High-throughput protein localization in Arabidopsis using Agrobacterium-mediated transient expression of GFP-ORF fusions.

We describe a streamlined and systematic method for cloning green fluorescent protein (GFP)-open reading frame (ORF) fusions and assessing their subcellular localization in Arabidopsis thaliana cells. The sequencing of the Arabidopsis genome has made it feasible to undertake genome-based approaches to determine the function of each protein and define its subcellular localization. This is an essential step towards full functional analysis. The approach described here allows the economical handling of hundreds of expressed plant proteins in a timely fashion. We have integrated recombinational cloning of full-length trimmed ORF clones (available from the SSP consortium) with high-efficiency transient transformation of Arabidopsis cell cultures by a hypervirulent strain of Agrobacterium. To demonstrate its utility, we have used a selection of trimmed ORFs, representing a variety of key cellular processes and have defined the localization patterns of 155 fusion proteins. These patterns have been classified into five main categories, including cytoplasmic, nuclear, nucleolar, organellar and endomembrane compartments. Several genes annotated in GenBank as unknown have been ascribed a protein localization pattern. We also demonstrate the application of flow cytometry to estimate the transformation efficiency and cell cycle phase of the GFP-positive cells. This approach can be extended to functional studies, including the precise cellular localization and the prediction of the role of unknown proteins, the confirmation of bioinformatic predictions and proteomic experiments, such as the determination of protein interactions in vivo, and therefore has numerous applications in the post-genomic analysis of protein function.

Agrobacterium tumefaciens↗

Biological function made crystal clear - annotation of hypothetical proteins via structural genomics.

Many of the gene products of completely sequenced organisms are 'hypothetical' - they cannot be related to any previously characterized proteins - and so are of completely unknown function. Structural studies provide one means of obtaining functional information in these cases. A 'structural genomics' project has been initiated aimed at determining the structures of 50 hypothetical proteins from Haemophilus influenzae to gain an understanding of their function. Each stage of the project - target selection, protein production, crystallization, structure determination, and structure analysis - makes use of recent advances to streamline procedures. Early results from this and similar projects are encouraging in that some level of functional understanding can be deduced from experimentally solved structures.

Bacterial Proteins↗