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    Today, the U.S. Food and Drug Administration approved two milestone treatments, Casgevy and Lyfgenia, representing the first cell-based gene therapies for the treatment of sickle cell disease (SCD) in patients 12 years and older. Additionally, one of these therapies, Casgevy, is the first FDA-approved treatment to utilize a type of novel genome editing technology [CRISPR/Cas9], signaling an innovative advancement in the field of gene therapy.


    This article aims to instruct you on how to swiftly locate related sequences via a simple one-click method, using the target name.

    Taking HER2 target as an example, suppose you are very concerned about antibody drugs related to the HER2 target, and you want to inquire about the publicly available antibody sequences for the HER2 target worldwide. This article will teach you how to search for related sequences with one click through the target name.

    Learn more:

    Exciting News!📚🔬

    I am thrilled to announce that my book proposal has been accepted by Springer Nature for an upcoming publication on cutting-edge topics in Bioinformatics. We are inviting passionate authors to contribute to this comprehensive work, covering various crucial areas such as Next-Generation Sequencing, Single-Cell Genomics, Machine Learning in Bioinformatics, and more.

    If you have groundbreaking research or insights to share in any of the chapters listed below, we would love to hear from you! 🌱🧬

    1. Introduction to Bioinformatics: Past, Present, and Future
    2. Next-Generation Sequencing and Genomic Data Analysis
    3. Single-Cell Genomics and Transcriptomics Analysis
    4. Metagenomics and Microbiome Analysis
    5. Structural Bioinformatics and Protein Structure Prediction
    6. Machine Learning and Artificial Intelligence in Bioinformatics
    7. Integrative Omics and Systems Biology
    8. Bioinformatics in Precision Medicine and Personalized Healthcare
    9. Drug Discovery and Repurposing through Bioinformatics
    10. Bioinformatics in Crop Improvement and Agricultural Genomics
    11. Immunoinformatics and Vaccine Development

    Don't miss the opportunity to be part of this book📕! The deadline for submissions is 31 March 2024. Let's push the boundaries of Bioinformatics together. 🚀 #Bioinformatics #ResearchOpportunity #SpringerNature #AcademicPublishing

    👉🏻Hurry up! Only chapter 11 is available.

    For any queries, please reply to spnaturebook[at]


    November 24-26, 2023
    Vellore Institute of Technology
    Vellore, India

    Late-breaking abstracts end this Sunday. Join and experience the bioinformatics gala!

    Five reasons to attend Inbix2023: Indian Conference on Bioinformatics 2023:

    1. It is hosted by VIT, Vellore, the top 10 private universities in India taking leaps and bounds in research in the region, and organised by, India's largest bioinformatics society working for Mentor-Mentee relationships.

    2. Scintillating keynotes and Life Time Achievement Awardees by revered Kenta Nakai, PB Kavi Kishor, PK Gupta and Jayaraman K Valadi and 18 other speakers across all states of India, some of the excellent speakers in the areas of #bioinformatics, #proteomics #machinelearning #genetics and #functionalgenomics

    3. Two panel discussions on "Millet Bioinformatics", elevator pitch and our unique video abstracts, all free for life members

    4. Have you ever heard of 12-17 year old children introduced to bioinformatics and coding? Yes, you guessed it right! We have our prestigious bioinformatics for school children (BIXS) programme through #Bioclues and this time as well, children will enthrall you with their works as we take you through students projects

    5. Team Bioclues #camaraderie through the three day event where we take pride in putting it and a preconference workshop on 23rd magnifies the spirit of bioinformaticshood!

    Come, join us! You will be missing something, if you haven't registered yet! What's more! The deadline for Late-breaking abstract submission ends soon:
    #research #event #india #coding #projects #bioinformatics


    Chimeric antigen receptor (CAR) T cell therapy, in which a patient's own T lymphocytes are engineered to recognize and kill cancer cells, has achieved remarkable success in some hematological malignancies in preclinical and clinical trials, resulting in six FDA-approved CAR-T products currently available in the market. Once equipped with a CAR construct, T cells act as living drugs and recognize and eliminate the target tumor cells in an MHC-independent manner.

    CARs are synthetic immune receptors that connect a single-chain variable fragment (scFv), derived from a monoclonal antibody to T cell signaling domains to eradicate tumor cells independent of the major histocompatibility complex (MHC).

    Once equipped with a CAR, T cells, known as CAR-T cells, act as living drugs and recognize and eliminate the target tumor cells. The conventional CAR structure consists of three modular components: the ectodomain, the transmembrane domain, and the endodomain, each of which has specific components and functions and thus the potential to be optimized.

    An exemplification using Tisagenlecleucel demonstrates the approach of performing sequence retrieval for each individual region, as well as searching for the overall relevant sequence through a combination of different fragments.

    Continue reading:

    Empowering Researchers with Advanced End-to-End Analysis Tools for Single-Cell and Genetic Variation Studies.

    BioBam, the leading bioinformatics software company, is pleased to announce OmicsBox 3.1, its latest version packed with innovative features designed to empower researchers, scientists, and bioinformaticians in their pursuit of advanced omics data analysis and interpretation.

    OmicsBox has consistently led the way by providing comprehensive genomics, transcriptomics, and metagenomics data analysis tools. This release represents a significant step forward, introducing new Single-Cell analysis capabilities, strengthening Long-Read transcriptome analysis, and enhancing Genetic Variation analysis.

    Dr. Stefan Götz, CEO, stated, "With the latest release, OmicsBox now offers an exceptionally flexible analysis solution for Single-Cell RNA-Seq data, addressing the unique challenges presented by this rapidly evolving field. We anticipate that these new features will build on the success of other OmicsBox modules and make Single-Cell data analysis more accessible to the broader community."

    In OmicsBox 3.1, the Single-Cell Data Analysis capabilities have been enhanced to support Expression Quantification tailored for UMI-based technologies like 10x Genomics Chromium and Drop-seq. The additions now enable end-to-end analysis of sequencing reads, from quantification to in-depth analysis, including clustering, trajectory analysis, and functional interpretation.

    In the Long-Read Transcriptome data analysis, OmicsBox 3.1 introduces a new read aligner, complementing well-established tools like Flair, IsoSeq, and Sqanti. This unifies all the essential tools for PacBio or ONT long-read data analysis in a single, user-friendly platform.

    The Genetic Variation Module has also received updates introducing an end-to-end solution for genetic variation analysis, featuring a cutting-edge functional enrichment tool designed exclusively for genome-wide association studies (GWAS). Additionally, support for mixed ploidy and interactive Manhattan plots has been included.

    About OmicsBox:

    OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process. It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data.

    The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module, which includes the popular Blast2GO annotation methodology makes OmicsBox particularly suited for non-model organism research. Over 25k scientific research citations demonstrate this. OmicsBox works out of the box on any standard PC or laptop with Windows, Linux, or Mac. You can also explore its features with a free trial, making it even more accessible for students and researchers.

    About BioBam:

    BioBam is a leading bioinformatics company that provides innovative software solutions to accelerate genomics research. The company is dedicated to developing user-friendly and powerful bioinformatics tools that simplify data analysis for researchers, empowering them to focus on data interpretation and explore new insights. BioBam aims to close the technology gap between state-of-the-art bioinformatics and applied genomics research, by transforming complex data analysis into intuitive and interactive tasks that facilitate scientific advancement.

    Follow BioBam on LinkedIn, Twitter, Facebook, and YouTube.


    Stefan Götz, CEO
    BioBam Bioinformatics S.L.

    December 11-13, 2023
    University of Oklahoma

    Advances in high-throughput technologies such as DNA sequencing and mass spectrometry are profoundly transforming life sciences, resulting in the collection of unprecedented amounts of biological and medical data. Using this data to advance our knowledge about fundamental biological processes and improve human health requires novel computational models and advanced analysis algorithms. ICCABS aims to bring together leading academic and industry researchers to discuss the latest advances in computational methods for bio and medical sciences.


    Topics of interest include but are not limited to: Biological Big Data Analytics, Biological modeling and simulation, Biomedical image processing, Biomedical data and literature mining, Computational genetic epidemiology, Computational metabolomics, Computational proteomics, Databases and ontologies, Gene regulation, Genome analysis, analysis, Health Informatics, High-performance bio-computing, Immunoinformatics, Molecular evolution, Population genomics, Sequence analysis, Structural bioinformatics, biology and Transcriptomics.


    Papers submission deadline: October 7, 2023
    Notification of acceptance: November 1, 2023
    Final paper deadline: November 8, 2023
    Early registration deadline: November 8, 2023



    Nearly a decade ago, Emmanuelle Charpentier and Jennifer Doudna embarked on a journey that would transform the field of science. Their groundbreaking research on the CRISPR system revolutionized gene editing and ultimately earned them the 2020 Nobel Prize in Chemistry. Watch their captivating short film, offering insights into the process of scientific discovery, collaboration, and groundbreaking experimentation.
    Software: Python packages for bioinformatics
    Submitted by Gajendra P.S. Raghava; posted on Tuesday, September 05, 2023


    Raghava's group has announced Python packages in the field of bioinformatics. These packages can be installed by the simple command, "pip install package-name". They are free for the scientific community. I hope the public will be benefited by them.



    Adeno-associated virus (AAV) is reckoned as one of the most propitious vectors for gene research and therapy. This perception is due to an amalgamation of characteristics such as its variant types, minimal immunogenicity, extensive safety considerations, the extensive range of host cells it can infect (including both dividing and non-dividing cells), its potent dissemination capabilities, and its ability to facilitate prolonged gene expression.

    In the context of the Patsnap Bio Sequence Database, it's possible to extract sequences analogous to definite AAV sequences and examine new AAV data from sources accessible to the public, thereby providing a catalyst for advanced AAV research.
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