Lightweight genome viewer: portable software for browsing genomics data in its chromosomal context

Background  

Lightweight genome viewer (lwgv) is a web-based tool for visualization of sequence annotations in their chromosomal context. It performs most of the functions of larger genome browsers, while relying on standard flat-file formats and bypassing the database needs of most visualization tools. Visualization as an aide to discovery requires display of novel data in conjunction with static annotations in their chromosomal context. With database-based systems, displaying dynamic results requires temporary tables that need to be tracked for removal.     

MAAP: a versatile and universal tool for genome analysis

Multiple arbitrary amplicon profiling (MAAP) uses one or more oligonucleotide primers (5 nt) of arbitrary sequence to initiate DNA amplification and generate characteristic fingerprints from anonymous genomes or DNA templates. MAAP markers can be used in general fingerprinting as well as in mapping applications, either directly or as sequence-characterized amplified regions (SCARs). MAAP profiles can be tailored in the number of monomorphic and/or polymorphic products. For example, multiple endonuclease digestion of template DNA or the use of mini-hairpin primers can enhance detection of polymorphic DNA. Comparison of the expected and actual number of amplification products produced with primers differing in length, sequence and GC content from templates of varying complexity reveal severe departures from theoretical formulations with interesting implications in primer-template interaction. Extensive primer-template mismatching can occur when using templates of low complexity or long primers. Primer annealing and extension appears directed by an 8 nt 3-terminal primer domain, requires sites with perfect homology to the first 5–6 nt fom the 3 terminus, and involves direct physical interaction between amplicon annealing sites.     

GGT 2.0: versatile software for visualization and analysis of genetic data

Ever since its first release in 1999, the free software package for visualization of molecular marker data, graphical genotype (GGT), has been constantly adapted and improved. The GGT package was developed in a plant-breeding context and thus focuses on plant genetic data but was not intended to be limited to plants only. The current version has many options for genetic analysis of populations including diversity analyses and simple association studies. A second release of the GGT package, GGT 2.0 (available through http://www.plantbreeding.wur.nl), is therefore presented in this paper. An overview of existing and new features that are available within GGT 2.0, and a case study in which GGT 2.0 is applied to analyze an existing set of plant genetic data, are presented and discussed.     

CellProfiler: free, versatile software for automated biological image analysis

Careful visual examination of biological samples is quite powerful, but many visual analysis tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use of the open-source software, CellProfiler, to automatically identify and measure a variety of biological objects in images. The applications demonstrated here include yeast colony counting and classifying, cell microarray annotation, yeast patch assays, mouse tumor quantification, wound healing assays, and tissue topology measurement. The software automatically identifies objects in digital images, counts them, and records a full spectrum of measurements for each object, including location within the image, size, shape, color intensity, degree of correlation between colors, texture (smoothness), and number of neighbors. Small numbers of images can be processed automatically on a personal computer and hundreds of thousands can be analyzed using a computing cluster. This free, easy-to-use software enables biologists to comprehensively and quantitatively address many questions that previously would have required custom programming, thereby facilitating discovery in a variety of biological fields of study.     

CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data

SUMMARY: This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation. AVAILABILITY: CGHAnalyzer, the accompanying manual, documentation and sample data are available for download at http://acgh.afcri.upenn.edu. This is a Java-based application built in the framework of the TIGR MeV that can run on Microsoft Windows, Macintosh OSX and a variety of Unix-based platforms. It requires the installation of the free Java Runtime Environment 1.4.1 (or more recent) (http://www.java.sun.com).     

3DNA: a versatile, integrated software system for the analysis, rebuilding and visualization of three-dimensional nucleic-acid structures

We present a set of protocols showing how to use the 3DNA suite of programs to analyze, rebuild and visualize three-dimensional nucleic-acid structures. The software determines a wide range of conformational parameters, including the identities and rigid-body parameters of interacting bases and base-pair steps, the nucleotides comprising helical fragments, the area of overlap of stacked bases and so on. The reconstruction of three-dimensional structure takes advantage of rigorously defined rigid-body parameters, producing rectangular block representations of the nucleic-acid bases and base pairs and all-atom models with approximate sugar-phosphate backbones. The visualization components create vector-based drawings and scenes that can be rendered as raster-graphics images, allowing for easy generation of publication-quality figures. The utility programs use geometric variables to control the view and scale of an object, for comparison of related structures. The commands run in seconds even for large structures. The software and related information are available at http://3dna.rutgers.edu/.     

PhageGT：dsDNA噬菌体基因组末端分析软件

【背景】随着测序费用的降低,越来越多的科学家选择利用高通量测序技术研究噬菌体的基因组序列。通过对这些基因组数据的分析和研究,一些科学家也开发出了判断dsDNA噬菌体末端序列的方法,但这些方法是基于Linux系统下的命令,并没有在Windows操作系统下的软件。【目的】在Windows平台下开发一款免费的、可以在高通量测序获得的庞大序列文件中找到dsDNA噬菌体基因组末端序列的软件PhageGT。【方法】使用Visual Studio 2019开发一个基于对话框的微软基础类库(Microsoft Foundation Classes,MFC)应用程序。软件使用C++语言开发,逐行读取序列文件中的每条Reads,并设计相应的算法进行统计、计算。【结果】软件PhageGT可在高通量测序文件中提取出不同序列出现的频率、排序,并利用提取序列的最高频率和序列平均频率的比值(R值)判断噬菌体基因组是否存在末端序列。【结论】软件PhageGT的使用比较方便、简单。软件PhageGT和本文所利用的所有测试数据均可从https://zenodo.org/record/4674231#.YHADb-gzZxc免费获得。     

MALDI-TOF mass spectrometry: a versatile tool for high-performance DNA analysis

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) has developed during the past decade into a versatile tool for biopolymer analysis. The aim of this review is to summarize this development and outline the applications, which have been enabled for routine use in the field of nucleic acid analysis. These include the analysis of mutations, the resequencing of amplicons with a known reference sequence, and the quantitative analysis of gene expression and allelic frequencies in complex DNA mixtures.     

Recurrence time statistics: versatile tools for genomic DNA sequence analysis

With the completion of the human and a few model organisms' genomes, and with the genomes of many other organisms waiting to be sequenced, it has become increasingly important to develop faster computational tools which are capable of easily identifying the structures and extracting features from DNA sequences. One of the more important structures in a DNA sequence is repeat-related. Often they have to be masked before protein coding regions along a DNA sequence are to be identified or redundant expressed sequence tags (ESTs) are to be sequenced. Here we report a novel recurrence time-based method for sequence analysis. The method can conveniently study all kinds of periodicity and exhaustively find all repeat-related features from a genomic DNA sequence. An efficient codon index is also derived from the recurrence time statistics, which has the salient features of being largely species-independent and working well on very short sequences. Efficient codon indices are key elements of successful gene finding algorithms, and are particularly useful for determining whether a suspected EST belongs to a coding or non-coding region. We illustrate the power of the method by studying the genomes of E. coli, the yeast S. cervisivae, the nematode worm C. elegans, and the human, Homo sapiens. Our method requires approximately 6 . N byte memory and a computational time of N log N to extract all the repeat-related and periodic or quasi-periodic features from a sequence of length N without any prior knowledge on the consensus sequence of those features, hence enables us to carry out sequence analysis on the whole genomic scale by a PC.     

DNA amplification fingerprinting: A strategy for genome analysis

A novel strategy to detect genetic differences among organisms, DNA amplification fingerprinting (DAF), uses a thermostable DNA polymerase directed by usually one short (≥5 bp) oligonucleotide primer of arbitrary sequence to amplify short segments of genomic DNA and generate a range of DNA extension products. These products can be analyzed by polyacrylamide gel electrophoresis and silver staining. DAF is rapid and sensitive and is independent of cloning and prior genetic characterization. Here we describe this new methodology, its application to plant genotyping, and its perspectives in DNA fingerprinting and genome mapping.     

CURVATURE: software for the analysis of curved DNA

Software is presented to plot the sequence-dependent spatialtrajectory of the DNA double helix and/or distribution of curvaturealong the DNA molecule. The nearest-neighbor wedge model isimplemented to calculate overall DNA path using local helixparameters: helix twist angle, wedge (deflection) angle anddirection (of deflection) angle. The procedures described provedto be very convenient as tools for investigation of a relationshipbetween overall DNA curvature and its gel electrophoretic mobility.All parameters of the model had been estimated from experimentaldata. Using these wedge parameters the program takes, as input,any DNA sequence and calculates the likely degree of curvatureat each point along the molecule. This information is displayedboth graphically and in the form of simplified representationsof curved double helices. The Software, CURVATURE, can thusbe used to investigate possible roles of curvature in modulationof gene expression and for location of curved portions of DNA,which may play an important role in sequence-specific protein-DNAinteractions.     

Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing

Background  

Massively parallel sequencing readouts of epigenomic assays are enabling integrative genome-wide analyses of genomic and epigenomic variation. Pash 3.0 performs sequence comparison and read mapping and can be employed as a module within diverse configurable analysis pipelines, including ChIP-Seq and methylome mapping by whole-genome bisulfite sequencing.     

ABC: software for interactive browsing of genomic multiple sequence alignment data

Background  

Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, requiring the inclusion of genomic multiple sequence alignments, sequence annotations, and scores describing regional attributes of columns in the alignment. Visualization and browsing of results can be difficult, and there are currently limited software options for performing this task.     

Coiled coils: a highly versatile protein folding motif

The alpha-helical coiled coil is one of the principal subunit oligomerization motifs in proteins. Its most characteristic feature is a heptad repeat pattern of primarily apolar residues that constitute the oligomer interface. Despite its simplicity, it is a highly versatile folding motif: coiled-coil-containing proteins exhibit a broad range of different functions related to the specific 'design' of their coiled-coil domains. The architecture of a particular coiled-coil domain determines its oligomerization state, rigidity and ability to function as a molecular recognition system. Much progress has been made towards understanding the factors that determine coiled-coil formation and stability. Here we discuss this highly versatile protein folding and oligomerization motif with regard to its structural architecture and how this is related to its biological functions.     

Charged single alpha-helix: a versatile protein structural motif

A few highly charged natural peptide sequences were recently suggested to form stable alpha-helical structures in water. In this article we show that these sequences represent a novel structural motif called "charged single alpha-helix" (CSAH). To obtain reliable candidate CSAH motifs, we developed two conceptually different computational methods capable of scanning large databases: SCAN4CSAH is based on sequence features characteristic for salt bridge stabilized single alpha-helices, whereas FT_CHARGE applies Fourier transformation to charges along sequences. Using the consensus of the two approaches, a remarkable number of proteins were found to contain putative CSAH domains. Recombinant fragments (50-60 residues) corresponding to selected hits obtained by both methods (myosin 6, Golgi resident protein GCP60, and M4K4 protein kinase) were produced and shown by circular dichroism spectroscopy to adopt largely alpha-helical structure in water. CSAH segments differ substantially both from coiled-coil and intrinsically disordered proteins, despite the fact that current prediction methods recognize them as either or both. Analysis of the proteins containing CSAH motif revealed possible functional roles of the corresponding segments. The suggested main functional features include the formation of relatively rigid spacer/connector segments between functional domains as in caldesmon, extension of the lever arm in myosin motors and mediation of transient interactions by promoting dimerization in a range of proteins.