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    April 20-21, 2018
    Uttaranchal University, Dehradun, Uttarakhand, India
    www.icacds.com

    CALL FOR PAPERS

    First ICACDS (International Conference on Advances in Computing and Data Sciences) conference was held in 2016. ICACDS is the one of the premier, renowned, and biggest technical conference focused on all aspect of Advanced Computing, Advanced Algorithms, and Data Sciences including Security. Like previous conference, ICACDS 2018 will feature world class speakers. The theme of ICACDS 2018 is "Advanced Computing and Data Sciences".

    ICACDS 2018 will feature both invited and contributed papers. The presented papers will be submitted to Communications in Computer and Information Science (CCIS) – Springer for publication, which is indexed by major databases like DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. Prospective authors are invited to submit full papers with four of maximum ten pages in specified format by Springer.

    CONFERENCE TRACKS

    Advanced Algorithm – Advanced Computing, Parallel Computing, Numerical Algorithms, Pervasive and Ubiquitous Computing, Web algorithms, Computational Methods, machine Learning, Predictive Computing, etc.

    Data Sciences – Data Analytics, Big Data, Business Intelligence, Medical Informatics, Mobile Analytics, Image Processing, Knowledge Discovery Theory, Human Machine Interaction, Data Security etc.

    IMPORTANT DATES

    Full paper Submission Deadline: December 15, 2017
    Acceptance Notification Deadline: March 15, 2018
    Conference registration Deadline: March 30, 2018

    PAPER SUBMISSION

    Prospective authors are required to submit full-length papers of maximum 10 pages using EASYCHAIR conference management system formatted with Springer standard template, at the following link: easychair.org/conf[...]s2018

    For more information, please contact:
    ICACDS 2018 Secretariat
    Phone +91-9530243621
    Email: icacds2018[at]gmail.com

    Submitter

    The Repositive platform (repositive.io/?bioinformaticsorg) is an online portal indexing multiple human genomic databases, and currently the largest portal of its kind in the world. By indexing the metadata from 50+ global data sources, Repositive enables almost 2 million human genomic datasets to be browsed, and using its powerful query engine, Boolean predicates and predefined filters can help connect the research community with the genomic data they need.

    What data sources are on Repositive?

    1. 1000 Genomes – 3,911 datasets (discover.repositive.io/data[...]NOMES)
    2. Allen Institute – 4,065 datasets (discover.repositive.io/data[...]ITUTE)
    3. Array Express – 29,318 datasets (discover.repositive.io/data[...]PRESS)
    4. Corpasome – 15 datasets (discover.repositive.io/data[...]ASOME)
    5. Danish Diabetes Study – 1 dataset (discover.repositive.io/data[...]BETES)
    6. MethyCancer – 199, 607 datasets (discover.repositive.io/data[...]ANCER)
    7. dbGaP – 1,046 datasets (discover.repositive.io/data[...]DBGAP)
    8. EBI Metagenomics – 110 datasets (discover.repositive.io/data[...]OMICS)
    9. ENCODE – 10,150 datasets (discover.repositive.io/data[...]NCODE)
    10. Estonian Biocentre – 20 datasets (discover.repositive.io/data[...]ENTRE)
    11. European Variation Archive – 156 datasets (discover.repositive.io/data[...]3AEVA)
    12. ExAC – 1 dataset (discover.repositive.io/data[...]AEXAC)
    13. Expression Atlas – 1,087 datasets (discover.repositive.io/data[...]3AGXA)
    14. GABRIEL – 1 dataset (discover.repositive.io/data[...]BRIEL)
    15. GEO – 1,772 datasets (discover.repositive.io/data[...]3AGEO)
    16. Genom Austria – 10 datasets (discover.repositive.io/data[...]STRIA)
    17. Genome Asia – 1 dataset (discover.repositive.io/data[...]_ASIA)
    18. Genome in a Bottle – 52 datasets (discover.repositive.io/data[...]AGIAB)
    19. Genomes Unzipped – 16 datasets (discover.repositive.io/data[...]IPPED)
    20. Giant Consortium – 10 datasets (discover.repositive.io/data[...]RTIUM)
    21. GigaScience – 56 datasets (discover.repositive.io/data[...]IGADB)
    22. Horizon Discovery – 22 datasets (discover.repositive.io/data[...]OVERY)
    23. Human Genome Diversity Project – 1 dataset (discover.repositive.io/data[...]RSITY)
    24. Human Knockout Project – 1 dataset (discover.repositive.io/data[...]OJECT)
    25. InsilicoDB – 6,940 datasets (discover.repositive.io/data[...]CO_DB)
    26. Integrative Japanese Genome Variation Project – 3 datasets (discover.repositive.io/data[...]IJGVD)
    27. International Headache Consortium – 3 datasets (discover.repositive.io/data[...]RTIUM)
    28. Japanese Genotype-phenotype Archive – 55 datasets (discover.repositive.io/data[...]3AJGA)
    29. Kadoorie Biobank – 1 dataset (discover.repositive.io/data[...]OORIE)
    30. Magic Consortium – 7 datasets (discover.repositive.io/data[...]RTIUM)
    31. MethylomeDB – 29 datasets (discover.repositive.io/data[...]OMEDB)
    32. Mike's Genome – 1 dataset (discover.repositive.io/data[...]E_LIN)
    33. Mouse Tumor Biology Database – 425 datasets (discover.repositive.io/data[...]B_JAX)
    34. NGSmethDB – 145 datasets (discover.repositive.io/data[...]ETHDB)
    35. NIAGADS – 45 datasets (discover.repositive.io/data[...]AGADS)
    36. Open Humans – 1,610 datasets (discover.repositive.io/data[...]UMANS)
    37. Personal Genome Project – 1,114 datasets (discover.repositive.io/data[...]3APGP)
    38. Repositive – 12 datasets (discover.repositive.io/data[...]ITIVE)
    39. SRA – 9,382 datasets (discover.repositive.io/data[...]3ASRA)
    40. Simons Genome Diversity Project – 271 datasets (discover.repositive.io/data[...]RSITY)
    41. Singapore Genome Variation Project – 1 dataset (discover.repositive.io/data[...]ASGVP)
    42. Steven's Genome – 3 datasets (discover.repositive.io/data[...]ATING)
    43. Texas Cancer Cell Repository – 3,014 datasets (discover.repositive.io/data[...]TXCCR)
    44. Texas Biobank – 7 datasets (discover.repositive.io/data[...]TXCRB)
    45. The Genome of the Netherlands – 1 dataset (discover.repositive.io/data[...]LANDS)
    46. The Japanese Toxicigenomics Project – 170 dataset (discover.repositive.io/data[...]OXICO)
    47. THL Biobank (Finland) – 7 datasets (discover.repositive.io/data[...]OBANK)
    48. UCSC – 1 dataset (discover.repositive.io/data[...]AUCSC)
    49. UTHSCSA Canve Methylome System – 232 datasets (discover.repositive.io/data[...]HSCSA)
    50. Xpressomics – 6,727 datasets (discover.repositive.io/data[...]OMICS)

    This is a general invitation to all authors for book chapter(s) contribution to our forthcoming book series entitled "Essentials of Bioinformatics Vol. I-III" to be published by Springer Nature Group. We expect to receive chapter(s) in line (but not limited to) with the central theme of our books (the detailed scope of book and submission dates can be seen below). The current book series is expected to act as an easily accessible platform for young biologists, biomedical scientists and medical researchers into the fascinating world of bioinformatics. Through this book, we aim to encourage the independent analysis and interpretation of the molecular data using publicly available bioinformatics platforms instead of using complicated computational algorithms and programming or costly commercial tools. Additionally, this book series shall highlight the essentials of modern bioinformatics tools to unravel the complexity of the genomes and to exploit the biological information to benefit the humankind through medical and agricultural science.

    Please use this link for further details: drive.google.com/file[...]/view

    Submitter

    To encourage bioinformaticists in India who have made outstanding contributions in the areas of bioinformatics and functional genomics, we created the Bioclues Innovation, Research and Development (BIRD) awards in 2011. The Call For Nominations for the year 2017 is NOW OPEN!

    More at www.bird.bioclues.org

    Submitter

    The Repositive platform is an online portal indexing multiple human genomic databases, and currently the largest portal of its kind in the world. By indexing the metadata from 50+ global data sources, Repositive enables almost 2 million human genomic datasets to be browsed, and using its powerful query engine, Boolean predicates and predefined filters can help connect the research community with the genomic data they need.

    Repositive is more than just a listing of data, it is also a community-driven platform with 2,000+ global users. Repositive advocates open collaboration, open access and open science and rewards users for contributing to the resource with "reputation" points and aims to show to the world just how impactful data, collaboration and further data annotation can be. Giving visibility to how your contributions are being used is an excellent way for researchers to secure grants, where traditional citations of dataset contributors are failing.

    At the center of Repositive is a belief that a collaborative community and better discoverability and accessibility of data can power research and support better diagnosis of diseases and development of treatments. It is their mission to "help researchers to help patients, faster". With most researchers only knowing of 4-5 sources of human genomic data, indexing the hundreds of data sources globally and making them cross comparable can help researchers utilize all the data which is already out there.

    The core Repositive platform is free to join, with non-users able to browse the data currently indexed here: discover.repositive.io. Repositive also offers several services (repositive.io/services/) like data scouting, help guiding difficult access applications and creating bespoke data catalogues, such as their recent PDX model platform (repositive.io/pdx/) with AstraZeneca, Boehringer Ingelheim and Horizon Discovery.

    AVAILABILITY

    Please visit repositive.io/?bioinformaticsorg

    Submitter

    Over 1,000 private beta registrations in August for our online courses resulted in a lot of feedback. Taking it all in (both positive and negative), we've updated the first two courses – Introduction and Transcriptomics part 1. Transcriptomics part 2 is almost done, we are just finalizing the practical exercises. Next up is Metagenomics – the materials are ready to post, provided by our research partners at the Tauber Bioinformatics Research Center. If you are interested in bioinformatics, please try out the courses and let us know if you have any suggestions! edu.t-bio.info/gett[...]-seq/

    If you have access to students and professors that would like to contribute by testing, developing projects and courses, please let us know! The courses provide a broad overview of main topics related to data types (such as Next Generation Sequencing or Mass-Spec) and a variety of projects that allow students to study the data in detail. Our vision is to develop a comprehensive platform for all types of data and various applications in ecology, agriculture, clinical research and pharma.

    We are still in beta, so if you find anything that needs to be corrected or improved, please let us know! info[at]pine-biotech.com
    Software: Bio-Linux 8.0.8
    Submitted by Tony Travis; posted on Friday, September 08, 2017

    Submitter

    We are pleased to announce a point release of Bio-Linux 8.0.8 that can be downloaded from: www.bioinformatics.org/grou[...]d=341

    This release is based on the work done by Will McCaffery to update and improve Tim Booth's "build-bio-linux" scripts during a summer internship with me at the University of Aberdeen, and I want to thank Will for his valuable contribution to Bio-Linux.

    RELEASE NOTES

    The Bio-Linux 8.0.8 point release contains an updated Linux kernel to improve support for modern WiFi chipsets in particular, and all the packages have been updated. This release is mainly intended to improve the use of Bio-Linux on a USB-stick or DVD. However, the 8.0.8 release also has "mdadm" pre-installed to make installation and rescue of Bio-Linux instances on "md" RAID simpler.

    PLEASE NOTE: Bio-Linux 8.0.7 instances installed to hard disk do NOT need to be updated using the Bio-Linux 8.0.8 point release. Bio-Linux is normally configured for unattended upgrades of core packages and will be upgraded automatically in situ. A manual update will be necessary to upgrade ALL packages installed:
    sudo apt update
    sudo apt full-upgrade

    CHANGELOG

    The Bio-Linux 8.0.8 point release was created using Tim Booth's "build-bio-linux" scripts, updated and modified by Will McCaffery and Tony Travis: github.com/Bio-Linux/
    Research: BMC Biology: Where did the Neanderthals go?
    Submitted by Prashanth Suravajhala; posted on Thursday, September 07, 2017

    Submitter

    Genomic evidence has recently been found for humans and Neanderthals interbreeding. In the following Q&A, the authors discuss the data!

    bmcbiol.biomedcentral.com/arti[...]414-2

    Submitter

    EXCERPT

    A few years ago, a team of researchers at Stanford University launched a video game called Eterna. The game was designed to harness the brain power of thousands of gamers, challenging them to design new chemical sequences of RNA. A new follow-up game has just been launched, and this time players are challenged to create a new RNA molecule that can essentially function as an on/off switch for the CRISPR/Cas9 gene editing process.
    Source: newatlas.com/eter[...]1160/

    Eterna website: www.eternagame.org/web/

    We've just released data from Iso-Seq interrogations of brain tissue from two avian models of vocal learning, Anna's hummingbird (Calypte anna) and zebra finch (Taeniopygia guttata), sequenced in collaboration with the Erich Jarvis and Olivier Fedrigo labs at the Rockefeller University.

    For this data set, we used the Iso-Seq method to characterize the transcriptomes of two birds, with brain total RNA. The two species' brain samples were barcoded, pooled, and sequenced using 4 SMRT Cells on the Sequel System. An average of ~460,000 reads was generated per SMRT Cell; total sequencing data yields ranged from 6.1 to 7.7 Gb per SMRT Cell. More than 15,000 isoforms were identified in each species, including thousands that had not been previously annotated in each bird and 400 to 500 new genes.

    FOR MORE INFORMATION

    Please visit www.pacb.com/blog[...]ssue/
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    Acknowledgments

    We wish to thank the following for their support:

    [Regeneron]
    [Repositive.io]
    [St. Jude]
    [OMICtools]
    [Bio-IT World]
    [Become a sponsor]

     

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