If you’re reading this, you probably already know that NIH and some other institutions have public access policies that require that peer-reviewed publications resulting from their funding be made available to the public. But did you know that if you complied with your funding agency’s public access policy by depositing your author manuscript in NIH’s PubMed Central (PMC) archive via the NIH Manuscript Submission (NIHMS) system, you can easily obtain statistics on how frequently your paper is being accessed? Continue reading
The NCBI homepage now has six prominent buttons on it: Submit, Download, Learn, Develop, Analyze, and Research. Each of these buttons leads to an action page devoted to a particular set of services.
Today, the NIH Manuscript Submission (NIHMS) system gets a new interface design, as well as updates that streamline the login and manuscript submission processes and provide relevant help information directly on each screen.
The NIHMS sign-in routes will now be available from the homepage. Select a route based on your funding agency (1) or sign in through NCBI if you are starting a deposit on an author’s behalf (2).
The homepage also includes a graphic overview of the NIHMS process (3). You can hover over each step for more information or click “Learn More” to read the complete overview in the FAQ.
In an earlier blog post, we discussed how sequence updates in GRCh38, the most recent version of the human reference genome, filled in a gap in human chromosome 17 near position 21,300K and expanded the region by 500K (500,000 base pairs). In this post, we will again consider this same region, but with an emphasis now on how GRCh38 also improved the gene annotation.
NCBI has three relatively new online resources for information about genetic tests, genetic conditions, and genetic variations:
- The Genetic Testing Registry, or GTR – a registry of genetic tests for heritable and somatic changes in humans
- MedGen – a medical genetics portal that focuses on information about medical conditions with a genetic component
- ClinVar – an archival database that contains reported assertions about the relationship between genetic variations and phenotypes
This blog will provide a very brief overview of the three resources by outlining some of their content features. For a more thorough introduction to the three resources, including the types of information available in each and how to use them, we recommend viewing this approximately hour-long webinar that we conducted in June 2014.
NCBI’s recent update to the SciENcv feature in MyNCBI gives researchers the ability to create multiple biosketches for grants from federal agencies engaged in scientific research, allowing a more tailored and convenient approach to the grant application process.
What is SciENcv?
SciENcv (Science Experts Network Curriculum Vitae) is designed to help researchers assemble an NIH biosketch by extracting information from NIH eRA Commons and PubMed. The SciENcv interagency working group includes NIH, as well as DOD, DOE, EPA, NSF, USDA and the Smithsonian. You can access SciENcv if you have a My NCBI account. My NCBI accounts are free and offer many useful features, such as saving searches, automated e-mail alerts and My Bibliography.
Create your biosketch
Based on user suggestions, we’ve made it possible to create biosketches in three ways: from scratch, from an external source, or by duplicating an existing profile (see Figure 1). While the eRA Commons data feed is currently the only external data option, we plan on adding other external data sources in a future release of SciENcv.
NCBI, in collaboration with NLM and the National Network of Libraries of Medicine NLM Training Center (NTC) at the University of Utah, recently presented the second offering of A Librarian’s Guide to NCBI. Health Sciences Librarians from 17 universities and two federal agencies attended the five-day intensive course on the NIH campus. This second offering of the training continues to prepare health science librarians for supporting NCBI molecular databases and tools, and training patrons in the use of NCBI resources at their own institutions.
As before, all the course materials are available online. Feel free to learn from them, adapt them for your own teaching, and share them with others. You can use the links below to access the updated 2014 course materials. These include the slide sets with demonstrations and practice problems.
In late December 2013, the Genome Reference Consortium (GRC) released an updated version of the human reference genome assembly, GRCh38, and submitted these new sequences to GenBank. This is the first time in four years that a new major version of the human genome has become available to the genomics community.
Perhaps you’ve been working on data mapped to the previous assembly (GRCh37) that became available in March 2009, or maybe you are still using an even earlier version, such as NCBI36 from March 2006. Is there a way to reduce the amount of time and effort required to reanalyze your data in the context of the new assembly?
Yes! It’s NCBI’s Genome Remapping Service, or NCBI Remap for short.
The NCBI in partnership with the National Library of Medicine Training Center (NTC) will offer the Librarian’s Guide to NCBI course on the NIH campus in April 2014. This will be the second presentation of the course; it was previously offered in the spring of 2013 (NCBI Insights April 11 and May 6, 2013). After the course, we will post lecture slides and hands-on practical exercises on the education area of the NCBI FTP site and video tutorials of the course lectures will be available on the NCBI YouTube channel. Materials from the 2013 course are available, as well as lecture videos for the expression module.
This month marks a major event in the realm of human genome research: the release of a new assembly of the genome, GRCh38. It has been over four years since the last major release (GRCh37 in March 2009), and we are going to explore several aspects of this new assembly in a series of blog posts over the coming weeks. In this initial post, we will give an overview of the data flow so that you will understand how NCBI received the data, where the data are at NCBI and what genome annotations you can expect from NCBI in the near future.