Best Bioinformatics Software in South America

We build products with our in-house chemists, biologists and clients to deliver outstanding performance and scientific understanding. Chemaxon offers a wide range of products, including out-of-the box solutions for scientists and IT professionals. It also includes components that add extra functionality as well as integrations with 3rd-party software, such Microsoft Excel or KNIME. Chemaxon, a leading software provider, is trusted by more than one million users. Its industry-leading tools for scientific discovery include calculation, search, and drawing tools. Our applications are used widely in education and research in the life sciences. Our clients come from a wide range of industries. The majority of major pharmaceutical companies are among them. Our offices are located at Budapest, Basel and Boston, with distributors all over the world.

g6gTech Inc. is a software company that develops deep search products in the fields of bioinformatics (AI) and artificial intelligence (AI). To emphasize our focus on creating products, we have changed our name from G6G Consulting Group. The new G6GFINDR System, powered by semantic annotation, searches an expanding database bioinformatics software and artificial intelligence software. It uses a two-step process to allow you to refine your search. The previously developed Directory of Omics, Intelligent Software was used as a starting point. We are expanding our database of searched products at a rapid pace. All products in the database were carefully selected. To optimize results, the G6GFINDR system uses cookies to automatically gather information about your activities. g6gTech Inc. created the G6GFINDR system.

Pluto was founded in 2021 by the Wyss Institute of Harvard University. It has been a trusted partner for many life sciences organizations across the country, from biotech start-ups and public biopharma companies. Our cloud-based platform allows scientists to manage all their data, run bioinformatics analysis, and create interactive visualizations that are published-quality. The platform is being used for a variety of biological applications. These include preclinical and translational science research, cell and gene therapies and drug discovery and development.

OmicsBox, a leading bioinformatics tool, offers end-toend data analysis for genomes, transcriptomes and metagenomes. It also provides genetic variation studies. The application, which is used by leading private and public research institutes worldwide, allows researchers to process large and complicated data sets and streamline their analytical process. It is designed to be efficient, user-friendly and equipped with powerful tools to extract biological insight from omics data. The software is divided into modules, each of which has a set of tools and features designed to perform specific types of analyses, such as de novo genome assemblies, genetic variations analysis, differential expression analyses, taxonomic classifications, and taxonomic classes of microbiome, including the interpretation of results and rich visualizations. The functional analysis module uses the popular Blast2GO annotating methodology, making OmicsBox a great tool for non-model organisms research.

Interactive visualizations and analytics allow you to explore hundreds of single-cell transcriptome datasets as well as your own data. The software supports multimodal omics (e.g. CITE-seq and spatial transcriptomic. Explore the world's largest database of single-cell expression interactively. Access and query insights derived from a single cell database of millions of cells. The database is fully annotated, with cell type labels and experimental meta-data. BBrowser does not just create a portal to published works. It is an end-toend solution for YOUR single-cell data. Import your fastq, count matrices or Seurat objects and reveal the biological stories within. With a powerful package of visualizations, analyses and an intuitive interface you can easily mine insights from any single-cell dataset. Import data from single-cell CRISPR or Perturb-seq. Guide RNA sequences can be queried.

The L7 Enterprise Science Platform (L7|ESP®) is a comprehensive platform designed to contextualize data and remove business silos through process orchestration. This all-in-one solution supports the digitalization of data and scientific processes within life sciences organizations. It includes native applications like L7 LIMS, L7 Notebooks, L7 MES, and L7 Scheduling. L7|ESP seamlessly integrates with third-party applications, lab instruments, and devices to consolidate all data into a unified model. Featuring a low-code/no-code workflow designer and numerous pre-built connectors, it ensures rapid implementation and full automation. Utilizing a single data model, L7|ESP enhances advanced bioinformatics, AI, and ML to provide new scientific and operational insights. L7|ESP addresses the data and lab management needs and challenges within the life sciences sector, specifically targeting: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Explore the L7 Resource Center for on-demand recordings, case studies, datasheets, and more: l7informatics dot com/resource-center

Ruffus is a Python computation pipeline library. It is open-sourced and powerful, user-friendly, and widely used for science and bioinformatics. Ruffus was designed to automate scientific and other analyses with minimal fuss and effort. It is suitable for even the most basic tasks. Even complex pipelines can be handled. This will prevent make or scons from becoming cross-eyed and recursive. No "clever magic", no pre-processing. The lightweight syntax, which does one small thing well, is unambitious. Ruffus is licensed under the permissive MIT-free software license. This license allows for free use and inclusion in proprietary software. It is a good idea to run your pipeline in a temporary directory that is not connected to your original data. Ruffus is a lightweight Python module that can be used to build computational pipelines. Ruffus requires Python 2.6 and higher, or Python 3.0 and higher.

Geneious Prime makes bioinformatics more accessible by transforming raw information into visualizations which make sequence analysis intuitive. Simple assembly of sequences and easy editing contigs. Automatic annotation of gene prediction, motifs and translation. Genotype microsatellite trace with automated ladder fitting, peak calling, and generation of tables of alleles. A highly customizable sequence view displays beautiful visualizations of annotated assemblies and genomes. SNP variants analysis with powerful SNPs, RNA-Seq analysis and amplicon metagenomics. Create your own searchable database of primers for PCR and sequencing and design and test them. Geneious Biologics offers a flexible, scalable and secure way to streamline antibody analysis workflows. It allows you to create high-quality libraries, and select the best therapeutic candidates.

Design and simulate cloning processes accurately. Test complex projects, catch mistakes before they happen, get the right constructs on the first try. Cloning becomes easier when you see what you're doing. The intuitive interface simplifies complex tasks by providing you with a clear view of your work. SnapGene automates the documentation so you don't need to. Share and view every sequence edit or cloning process that led to the final plasmid. Improve your core molecular biological procedures and your results. SnapGene Academy, our new online learning centre, will help you master SnapGene as well as key concepts in cloning. SnapGene Academy contains over 50 video tutorials, taught by experts in the field. This helps you improve your skills in multiple molecular biological courses. SnapGene 7.2 offers a new visualization for primer homodimer structure and enhancements to the file management. Tabs can be organized using drag-and-drop in multiple windows.

The toolkit was developed in the Data Sciences Platform of the Broad Institute. It offers a variety of tools, with a focus on variant detection and genotyping. Its powerful processing engine, high-performance computing capabilities and flexibility make it a great tool for any project. The GATK is a standard in the industry for identifying SNPs in RNAseq and germline DNA data. Its scope has now expanded to include somatic short variation calling, copy number (CNV), and structural variation (SV). The GATK includes not only the variant callers, but also many utilities that perform related tasks like processing and quality-control of high-throughput sequence data. It also bundles the Picard toolkit. These tools were designed primarily to process whole genomes and exomes generated by Illumina sequencing technology. However, they can be adapted for a variety other technologies and experimental design.

Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulatory in RNA-Seq sample. It accepts aligned RNA Sequence reads and assembles them into a minimal set of transcripts. Cufflinks estimates the relative abundances for these transcripts by calculating how many reads each one receives, while taking into account biases from library preparation protocols. Cufflinks is the result of a collaboration between the Laboratory for Mathematical and Computational Biology. We provide binary packages for Cufflinks to make the installation process easier. This saves users the sometimes frustrating task of building Cufflinks which requires you to install the libraries. Cufflinks comes with a number tools for analyzing RNASeq experiments. Some of these tools are standalone, while others form part of a larger workflow.

The Bioconductor Project aims to develop open source software that allows for repeatable and precise analysis of biological data. We encourage a collaborative and inclusive community of data scientists and developers. Resources to maximize Bioconductor's potential. Our tutorials, guides, documentation, and guides cover everything from basic functionality to advanced features. Bioconductor is an open-source and open-development software that uses the R statistical language. It has an active user base and two releases per year. Bioconductor offers Docker images with every release, and supports Bioconductor in AnVIL. Bioconductor, founded in 2001, is an open-source project widely used in bioinformatics. Over 1,000 developers have contributed over 2,000 R packages, which are downloaded over 40 million times per year. Bioconductor is cited in over 60,000 scientific publications.

Galaxy is a web-based, open-source platform for data-intensive biomedical studies. Start here if you are a new Galaxy user or consult our support resources. Install Galaxy yourself by following the tutorial. You can choose from thousands of tools in the tool shed. This instance of Galaxy uses infrastructure generously provided to it by the Texas Advanced Computing Center. Additional resources are available primarily via the Jetstream2 cloud, via ACCESS and with support from National Science Foundation. Quantify, visualize and summarize mismatches from deep sequencing data. Build maximum-likelihood trees. Phylogenomic/evolutionary tree construction from multiple sequences. Using TN-93, combine matching reads to form clusters. Remove sequences that are within a certain distance of a cluster from a reference. Estimate gene essentiality scores using maximum-likelihood.

Cellenics can help you turn your single-cell sequencing data into meaningful insights. Cellenics is an open-source analytics tool developed by Harvard Medical School for single cell RNA sequencing data. Biomage hosts the community instance. It allows biologists to explore datasets of single-cells without having to write code, and helps scientists and informaticians work together more effectively. It can take you from count matrixes to publication ready figures in a matter of hours. It can also be seamlessly integrated into your workflow. It is fast, interactive and user-friendly. It's cloud-based and scalable. Cellenics, hosted by Biomage as a community instance, is free for academics with small/medium datasets (upto 500,000 cells). Over 3000 academic researchers use it to study cancer, cardiovascular health and developmental biology.

Improve team productivity and generate greater returns on research. Interactive data visualization allows you to share private and public data with other teams. Rosalind is a multi-tenant SaaS designed for scientists. Analyze, share, interpret, plan, validate and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. ROSALIND is suitable for scientists of all levels, since it does not require any programming or bioinformatics knowledge. ROSALIND's powerful downstream analysis and collaborative capabilities make it a platform for discovery and data hub that connects experiment design, quality assurance, and pathway exploration. ROSALIND manages tens or thousands of cores of computing and petabytes in storage to dynamically scale each experiment up and down to deliver results. Share results instantly with other scientists around the world with audit tracking, so everyone can concentrate on interpretation and not the processing.

This free tool provides stunning visualizations of genomic data, giving you the power to see exactly what is happening at each base pair within your samples. GenomeBrowse is a desktop application that runs natively on your computer. You no longer have to compromise on speed or interface quality in order to achieve a consistent experience across platforms. It was designed with performance in mind, to provide a faster browsing experience than any genome browser currently available. GenomeBrowse has also been integrated into the powerful Golden Helix VarSeq annotation and interpretation platform. VarSeq is a powerful tool for filtering, analyzing, and annotating your data. If you enjoy the visualization experience provided by GenomeBrowse then try it out. GB can show all your alignment data. You can find context-relevant findings by looking at all your samples together.

MEGA (Molecular Evolutionary Genetics Analysis), a powerful, user-friendly software package designed to analyze DNA and protein sequences from species and populations. It allows for both manual and automatic sequence alignment, phylogenetic trees inference, and evolutionary hypotheses testing. MEGA is a powerful tool for comparative analysis of sequences and understanding molecular evolutionary processes. It supports a wide range of statistical methods, including maximum likelihood, Bayesian Inference, and ordinary least-squares. MEGA has advanced features like real-time captions to explain the results of the analysis and the methods used. It also uses the maximum composite likelihood method to estimate evolutionary distances. The software comes with powerful visual tools such as the alignment/trace editors and tree explorers, and supports multi-threading to ensure efficient processing. MEGA is compatible with Windows, Linux and macOS.

Qlucore Omics Explorer makes it so simple to use that you don't have to rely on a specialist in bioinformatics for analysis and exploration of your Omics or NGS data sets. Qlucore Omics Explorer, a next-generation D.I.Y bioinformatics software, is available for research in academia, life science, and plant-tech industries. The flexible and powerful visualization-based data analysis tool delivers instant results and allows for the exploration and visualization of large data. The software was designed to allow you to choose the best workflow for your experiments and maximize the results of your research. You will be able see your results instantly by combining instant visualization with powerful statistics, flexible selection methods, and powerful statistics. You decide the workflow and starting point for your own exploration. You have complete control over the exploration process and can tailor it to your needs.

Founded in order to improve lives through high-value care, the hc1 platform has become a leader in bioinformatics for precision prescribing and testing. The cloud-based hc1 high-value care platform® organizes large amounts of live data, including genomics and medications, to provide solutions that ensure the right patient receives the right test and prescription. The hc1 Platform is a platform that powers solutions that optimize diagnostic testing, prescribing, and patient care for millions of patients across the country. Visit www.hc1.com to learn more about the proven approach of hc1 to personalizing care and eliminating waste for thousands upon thousands of health systems, diagnostic labs, and health plans.

Universal Analysis Software (UAS), a platform that analyzes and manages forensic genomic data, simplifies complex bioinformatics. The UAS is an all-inclusive solution that includes analysis modules for all ForenSeq workflows, including ForenSeq MainstAY and ForenSeq Kintelligence. It also contains ForenSeq DNA Signature prep, ForenSeq DNA Whole Genome, ForenSeq Control Region, ForenSeq mtDNA Whole Genome and ForenSeq UAS Control Region. UAS quickly generates FASTQ files and performs alignment. It also calls forensically relevant variants using NGS data. The extensive testing behind UAS's variant calls ensures that they are reliable and deliver accurate results in a user-friendly package that does not require per-seat licenses. UAS is a tool for forensic analysts. It streamlines the handling of base-bybase sequence information. It also includes a variety of features that allow you to perform everything from a quick review of everyday STR profiles to detailed analysis on the most difficult samples.

Legacy R&D software can be a drain on scientific potential. It slows down R&D progress and scatters data between silos. Benchling is the industry's most trusted life sciences R&D cloud. All the tools you need to accelerate, measure, and forecast R&D, from discovery through bioprocessing, all in one place. A suite of seven applications that are natively unified and can be used to accelerate R&D at all levels. Open integration, codeless configuration, and dashboards that are tailored to your needs. For continued success, deep life science R&D and consulting expertise are essential. Benchling is a unified R&D platform that allows you to spend less time searching for data and more time working together in order to advance your research. Scientists, managers, executives, and researchers can optimize R&D output by having complete visibility into the experimental context, program performance, resource utilization, and program performance.

The QIAGEN CLC Geneomics Workbench is a powerful tool that works for all workflows. It is easy to overcome data analysis challenges with cutting-edge technology, unique features and algorithms that are widely used by scientists in industry and academia. Bioinformatics software solutions that are user-friendly allow for comprehensive analysis and interpretation of your NGS data. This includes de novo assembly and transcriptome assembly, resequencing analysis, WES and targeted panel support, variant calling, variant calling, RNA–seq, ChIP–seq and DNA methylation analysis (bisulfite sequence analysis). You can analyze your RNA-seq (miRNA, smallRNA) and smallRNA (lncRNA), data using easy-to-use transcriptomics workflows that allow for differential expression analysis at both gene and transcript levels. QIAGEN CLC Genomics Workbench was designed to support a wide variety of NGS bioinformatics programs.

StarDrop™, a comprehensive suite of integrated software, delivers the best in silico technology within a highly visual interface. StarDrop™, which allows seamless flow between the latest data, predictive modeling, and decision-making regarding the next round or synthesis, improves the speed, efficiency and productivity of the discovery process. A balance of different properties is essential for successful compounds. StarDrop™, which guides you through the multi-parameter optimization challenge, helps you target compounds with the highest chance of success. It also saves you time and resources by allowing you to synthesize fewer compounds and test them less often.

Partek bioinformatics software provides powerful visualization and statistical tools in an intuitive interface. Researchers of all levels can explore genomic data faster and more efficiently than ever before. We turn data into discovery®. Our intuitive interface makes it easy for scientists to perform sophisticated array and NGS analysis using pre-installed workflows. Public and custom statistical algorithms can be used together to quickly and accurately distill NGS data into biological insights. Genome browser, Venn diagrams and heat maps, as well as other interactive visualizations, show the biology of your next generation sequencing and array data in vivid color. Our Ph.D. scientists can be reached at any time to assist with your NGS analysis. This product is specifically designed for next-generation sequencing applications that require high-level computing. It offers flexible installation and management options.

Correlation Engine, an interactive omics database, places private omics data into a biological context by combining it with highly curated publicly available data. Correlation Engine, one of the largest databases in the world for life science research, provides researchers with unprecedented access and insight to a vast number of high-quality whole genome analyses. The knowledgebase allows for novel discoveries through the interrogation of billions of datapoints derived from standard analyses of whole genome studies. A suite of applications for determining biological context, a constantly growing library of curated datasets, and support of multiple species and multi-omic data sets. Use a simple graphical interface to leverage guided workflows and APIs. Accelerate the journey from omic to decision-making and gain access to more than 25,000 multi-omics studies that have been reanalyzed (from over 250.000 signatures).