The ClinVar Team is happy to announce a new online form in the ClinVar Submission Portal, the Single SCV Update, which makes it easier for you to update a single record.
The new ClinVar Single SCV Update form showing the sections for editing the evaluation date, clinical significance, condition, and citations.
We’ve released a new version of IgBLAST, v1.12. This new version increases the allowed distance between V gene end and J gene start positions (from 90 bp to 150 bp) as well as between V gene end and D gene start positions (from 55 to 120 bp) to accommodate extremely long VDJ junctions found in some antibodies.
IgBLAST 1.12 uses the 1-based sequence coordinate system that reflects the change in the new AIRR Rearrangement Schema. Also, it includes fixes for minor bugs found in previous versions.
The new executables are available on the NCBI FTP site.
For more information, please read:
IgBLAST facilitates the analysis of immunoglobulin and T cell receptor variable domain sequences.
The NCBI will host a collaborative biodata science hackathon on the NIH Campus in Bethesda, Maryland February 20-22.
We are now collecting project proposals focusing on building tools and pipelines for advanced analysis of biomedical datasets including text, images, next generation sequencing data, proteomics, and metadata. Proposals for tutorial pipelines and educational tools for advanced analysis are also welcome.
Submit your project proposal here! Submissions are due January 7, 2019.
This month, the NCBI Eukaryotic Genome Annotation Pipeline annotated its 500th organism! The lucky winner is Pocillopora damicornis, a stony reef-building coral frequently used as an experimental model, whose larval dispersal and development are affected by environmental changes in the oceans.
Going to the ASCB | EMBO meeting? Stop by the NCBI booth (#327) to learn about all that NCBI has to offer, ask questions, and provide feedback on how we can better meet your needs for research and teaching.
Visit the booth anytime during exhibit hours to discuss any topic or just to say hello. We’re also offering specific times at the booth for focused conversations about using specific sets of NCBI resources in your research and teaching.
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To stay up-to-date about NCBI at ASCB or in general, follow us on Twitter at @NCBI .
As previously announced, GenBank and other INSDC members will expand the accession formats used for sequencing projects by the end of this year. We’re introducing these new formats to accommodate the growth of Whole Genome Shotgun (WGS), Transcriptome Shotgun Assembly (TSA), and Targeted Locus Study (TLS) sequencing sequences. More details about those changes are available on NCBI Insights.
You may have to adjust your code and databases to accommodate the new formats’ longer length. In particular, the first line of the flatfile format, referred to as the LOCUS line, includes the “Locus Name” (usually identical to the accession number), which may now grow to as long as 20 characters. See section 3.4.4 of the GenBank release notes for examples of how the LOCUS line might change.
Since 2003, the GenBank release notes have recommended that flatfile parsers use a whitespace-separated tokens approach to accommodate changes like the one described in section 3.4.4. If your flatfile parsers rely solely on position, you may have to make modifications. From our internal testing, it appears BioPython and BioPerl properly handle most of the examples shown in section 3.4.4, and only have issues with the last theoretical examples where the sequence length no longer ends at position 40. We do recommend adjusting code to accommodate those theoretical examples for future-proofing.
Please write to the helpdesk with any questions about the new formats.
This webinar is intended for both new and experienced Track Hubs users.
Join us November 28, 2018 at noon EST for an NCBI Minute explaining what GDV’s Track Hubs are and how they can help you in your research.
Register here: https://bit.ly/2PUHBqz
After this webinar, you’ll be able to:
RefSeq release 91 is accessible online, via FTP and through NCBI’s Entrez programming utilities, E-utilities.
This full release incorporates genomic, transcript, and protein data available as of November 5, 2018. It contains 179,672,083 records, including 125,530,811 proteins, 24,447,570 RNAs, and sequences from 85,308 organisms.
The release is provided in several directories as a complete dataset and as divided by logical groupings.
In the NLM Strategic Plan released earlier this year, we noted that “[c]reating efficient ways to link the literature with associated datasets enables knowledge generation and discovery.” To that end, PMC is now aggregating data citations, data availability statements and supplementary materials, as available, in an Associated Data box. This box will only display on articles that have one or more of these features in the article.
Figure 1. The Associated Data box is outlined in red.
To limit your search to records with an Associated Data box, you can use the new “Associated Data” facet on the search results page.
Figure 2. You can click on “Associated Data” (outlined in red) under Article attributes to limit your search to records with an Associated Data box.
We hope that exposing this content in a consistent format and in an easy to find and easy to access manner, you will more readily find the datasets you need to further accelerate discovery and advance health. As part of our ongoing commitment to making data findable, accessible, interoperable, and re-usable (FAIR), we encourage you to contact us with your feedback on these updates and with any other suggestions you may have for improving discovery of related data in PMC.
If you’ve been searching in Gene, Nucleotide, Protein, Genome or Assembly databases, you’ve probably noticed the new search experience we introduced in September to interpret several common language searches and offer improved results. We’re excited to announce we’ve added as-you-type suggestions to the search bar in these databases.
Here’s a peek at the new menu in the NCBI Gene database.
Figure 1. Typing into the search box brings up automatic suggestions of the most popular queries.
