Tag: HMMER

NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!

NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!

Download release 15.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP)! Search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

What’s New?

Release 15.0 contains:

  • 16,667 HMMs maintained by NCBI
  • 279 new HMMs since release 14.0
  • Several hundreds HMMs with better names, EC numbers, Gene Ontology (GO) terms, gene symbols, or publications. 

Continue reading “NCBI Hidden Markov Models (HMM) Release 15.0 Now Available!”

Now Available: NCBI Hidden Markov Models (HMM) Release 14.0!

Now Available: NCBI Hidden Markov Models (HMM) Release 14.0!

Download release 14.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP)! Search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package. Continue reading “Now Available: NCBI Hidden Markov Models (HMM) Release 14.0!”

NCBI Hidden Markov Models (HMM) Release 13.0 Now Available!

NCBI Hidden Markov Models (HMM) Release 13.0 Now Available!

Release 13.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

What’s new?

The 13.0 release contains:

  • 16,143 HMMs maintained by NCBI
  • 315 new HMMs since release 12.0
  • 286 HMMs with better names, EC numbers, Gene Ontology (GO) terms, gene symbols or publications

Continue reading “NCBI Hidden Markov Models (HMM) Release 13.0 Now Available!”

NCBI Hidden Markov Models (HMM) Release 12.0 Now Available!

NCBI Hidden Markov Models (HMM) Release 12.0 Now Available!

Release 12.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

What’s new?

The 12.0 release contains:

  • 15,849 HMMs maintained by NCBI
  • 271 new HMMs since release 11.0
  • 1,248 HMMs with better names, EC numbers, Gene Ontology (GO) terms, gene symbols or publications

Continue reading “NCBI Hidden Markov Models (HMM) Release 12.0 Now Available!”

NCBI hidden Markov models (HMM) release 11.0 now available!

NCBI hidden Markov models (HMM) release 11.0 now available!

Release 11.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package. Continue reading “NCBI hidden Markov models (HMM) release 11.0 now available!”

NCBI hidden Markov models (HMM) release 10.0 now available!

NCBI hidden Markov models (HMM) release 10.0 now available!

Release 10.0 of the NCBI Hidden Markov models (HMM) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

The 10.0 release contains 15,360 models maintained by NCBI, including 228 that are new since 9.0, 99 that were modified significantly, and 205 that were assigned better names, EC numbers, Gene Ontology (GO) terms, gene symbols or publications. You can search and view the details for these in the Protein Family Model collection, which also includes conserved domain architectures and BlastRules, and find all RefSeq proteins they name.

GO terms associated with HMMs are now propagated to CDSs and proteins annotated with PGAP. In case you missed it, see our previous blog post on this topic.

NCBI hidden Markov models (HMM) release 8.0 now available!

NCBI hidden Markov models (HMM) release 8.0 now available!

Release 8.0 of the NCBI Hidden Markov models (HMM), used by the Prokaryotic Genome Annotation Pipeline (PGAP), is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

The 8.0 release contains 15,358 models, including 160 that are new since 7.0. In addition, we have added better names, EC numbers, Gene Ontology (GO) terms, gene symbols or publications to over 550 existing HMMs. You can search and view the details for these in the Protein Family Model collection, which also includes conserved domain architectures and BlastRules, and find all RefSeq proteins they name.

GO terms associated with HMMs are now propagated to  coding sequences and proteins annotated with PGAP. In case you missed it, see our previous blog post on this topic.

New models added to the NCBI Hidden Markov models (HMM) collection with release 7.0

Release 7.0 of the NCBI Hidden Markov models (HMM), used by the Prokaryotic Genome Annotation Pipeline (PGAP), is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

Figure 1. Recently added HMM-based Protein Family Model for the histidine-histamine antiporter family (NF040512), with GO terms (framed in red).

Continue reading “New models added to the NCBI Hidden Markov models (HMM) collection with release 7.0”

Search the NCBI Hidden Markov models collection against your favorite prokaryotic proteins

The NCBI Hidden Markov models (HMM) 6.0 release, available on our FTP site, has 15,247 models supported at NCBI. We created 80 more new HMMs and consolidated the collection by removing 2,151 HMMs that were nearly identical to another. Release 6.0 also incorporates 12,656 PFAM from release 34 that apply to prokaryotic proteins. You can use the HMMER sequence analysis package to search the collection against your favorite prokaryotic proteins to identify their function. We have also added more specific names or associated EC number, gene symbols and publication to over 500 HMMs.

Gene Ontology (GO) term attributes are now available for 20% of HMM models (see Figure 1 below). We added most of these based on existing mappings, but our experts are working on creating more associations. Starting in the fall, we’ll start propagating GO terms from HMMs to annotated genomes and proteins!

Example Protein Family Model, TIGR03697.1 for the global nitrogen regulator NtcA protein family, with newly shown GO terms (framed in red).
Figure 1. Example Protein Family Model, TIGR03697.1 for the global nitrogen regulator NtcA protein family, with newly shown GO terms (framed in red).

Continue reading “Search the NCBI Hidden Markov models collection against your favorite prokaryotic proteins”

NCBI hidden Markov models (HMM) release 4.0 now available!

Release 4.0 of the NCBI hidden Markov models (HMM) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available from our FTP site. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package.

This release contains 17,443 models, including 94 new models since the last release. We have also updated names and added EC numbers and  gene symbols to over 100 models. You can search and view the details of these HMMs in the newly deployed Protein Family Model collection that also includes conserved domain architectures and BlastRules  and allows you to find all RefSeq proteins named by these profiles. See our recent post for more details.