Following on from Jaina and Marco’s blog post last week about conserved Human regions not in Pfam, I would like to give you some examples of how we have used the regions identified to improve existing Pfam families, and to create new ones. When available, we use three-dimensional structures to guide the boundary definitions of our families. In cases where there is no available structure, either for the protein in question or for other proteins in the same Pfam family, we base boundary decisions on sequence conservation. The following paragraphs give three examples of cases I have looked at recently.
Posts Tagged ‘pfam’
Recently, we have been looking at how much of the human proteome is covered by Pfam (release 27.0), and ways in which we can improve this coverage. We have even written an open access paper about it that you can read here  that is part of the proceedings of the 2013 Biocuration conference. We used the human proteins in UniProtKB/Swiss-Prot  (~20,000 sequences) as our human proteome set, and found that while most of the sequences in this set have some Pfam annotation (90% have at least one Pfam domain), there is still much ground to cover before we have a complete map of all (conserved) human regions (HRs). Here, rather than repeating what we presented in the paper (did we mention it is open access? ), we would like to tell you more about the impact this study is having on our strategies for selecting target regions to be added to Pfam.
We are happy to announce that TreeFam 9 is online and you can find it under http://www.treefam.org.
TreeFam 9 now has 109 species (vs. 79 in TreeFam 8) and is based on data from Ensembl v69, Ensembl Genomes v16, Wormbase and JGI.
This release marks an important step for TreeFam as it is the first release build since TreeFam has been resurrected.
Here is a list of the most important changes in TreeFam 9:
- New website layout (adopting the Pfam/Rfam/Dfam layout)
- Infrastructure move of web servers and databases to the EBI
- Sequence search against the library of TreeFam family profiles
- Pairwise homology download
We hope you find all the information you are looking for. If you don’t, please let us know so that we can include the information you want. The old website will remain online here.
If you have questions, suggestions or find bugs, don’t hesitate to contact us through our new forum here.
the TreeFam team
In a blog post published just over a year ago, I proposed a number of changes to the content of Pfam to improve scalability and usability of the database. These changes came into effect a few days ago, when we released Pfam 27.0. This release of Pfam contains a total of 14831 families, with 1182 new families and 22 families killed since release 26.0. 80% of all proteins in UniProt contain a match to at least one Pfam domain, and 58% of all residues in the sequence database fall within a Pfam domain. Read the rest of this entry »
We have recently produced a new release of AntiFam, release 3.0. AntiFam has grown in size, and release 3.0 contains 54 entries – compared to just 23 when we last blogged about AntiFam (release 1.1). Over 80 % of these new entries arise from translations of non-coding RNAs, including several families from translations of rRNA, tmRNA and RNaseP.
After 15 great years at the Sanger Institute we are on the move. On the 1st November, the Cambridge Xfam group will be taking up residence at the European Bioinformatics Institute on the other side of the Wellcome Trust Genome Campus. We’ll keep running the websites at Sanger for a bit longer, but eventually we’ll get them migrated over to EBI webspace. We’re hoping that the move will not cause any disruption to our users, but we might be a little bit slower at responding to your questions and bug reports.
We’ll keep you posted on updates to the website and database locations using the blog and our Twitter account.
We are pleased to introduce Dfam 1.0, a database of profile HMMs for repetitive DNA elements. Repetitive DNA, especially the remnants of transposable elements, makes up a large fraction of many genomes, especially eukaryotic. Accurate annotation of these TEs both simplifies downstream genomic analysis and enables research into their fascinating biology and impact on the genome.
We’ve had a few helpdesk tickets in the last few months asking how to download all of the Pfam-A domains for a particular species. This information can be quite difficult to obtain: getting it requires either downloading and installing a sub-set of the tables in our MySQL database, or else searching all of the sequences from the species of interest against Pfam, probably using our batch search.
Two related questions that we are often asked via the Pfam helpdesk is ‘Which families have a known three-dimensional structure?’ and ‘Why is a particular a PDB structure not found in Pfam’. You may think that there are obvious answers to these questions – but as with many things in life the answer is not necessarily as straight forward as you would have thought. In this joint posting between Andreas Prlic (senior scientist at RCSB Protein Data Bank) and myself (Rob Finn, Pfam Production Lead), we will elaborate on the way the PDB and Pfam cross referencing occurs, why discrepancies occurred in the past and describe the pipeline that the RCSB PDB has implemented using the HMMER web services API, which should provide the most current answer to these questions. Read the rest of this entry »