U.S. flag

An official website of the United States government

NCBI Python bivittatus Annotation Release 102

The RefSeq genome records for Python bivittatus were annotated by the NCBI Eukaryotic Genome Annotation Pipeline, an automated pipeline that annotates genes, transcripts and proteins on draft and finished genome assemblies. This report presents statistics on the annotation products, the input data used in the pipeline and intermediate alignment results.

The annotation products are available in the sequence databases and on the FTP site.

This report provides:

For more information on the annotation process, please visit the NCBI Eukaryotic Genome Annotation Pipeline page.


Annotation Release information

This annotation should be referred to as NCBI Python bivittatus Annotation Release 102

Annotation release ID: 102
Date of Entrez queries for transcripts and proteins: May 16 2018
Date of submission of annotation to the public databases: May 24 2018
Software version: 8.0

Assemblies

The following assemblies were included in this annotation run:
Assembly nameAssembly accessionSubmitterAssembly dateReference/AlternateAssembly content
Python_molurus_bivittatus-5.0.2GCF_000186305.1The Consortium for Comparative Genomics, UC Denver09-15-2013Reference1 assembled chromosomes; unplaced scaffolds

Gene and feature statistics

Counts and length of annotated features are provided below for each assembly.

Feature counts

FeaturePython_molurus_bivittatus-5.0.2
Genes and pseudogenes help22,427
  protein-coding19,793
  non-coding2,089
  transcribed pseudogenes0
  non-transcribed pseudogenes455
  genes with variants6,319
  immunoglobulin/T-cell receptor gene segments90
  other0
mRNAs32,711
  fully-supported28,609
  with > 5% ab initio help1,546
  partial3,003
  with filled gap(s) help2
  known RefSeq (NM_) help9
  model RefSeq (XM_)32,702
non-coding RNAs help3,198
  fully-supported2,664
  with > 5% ab initio help0
  partial4
  with filled gap(s) help0
  known RefSeq (NR_) help0
  model RefSeq (XR_) help2,952
pseudo transcripts help0
  fully-supported0
  with > 5% ab initio help0
  partial0
  with filled gap(s) help0
  known RefSeq (NR_) help0
  model RefSeq (XR_) help0
CDSs32,814
  fully-supported28,609
  with > 5% ab initio help1,875
  partial3,023
  with major correction(s) help340
  known RefSeq (NP_) help9
  model RefSeq (XP_) help32,715

Detailed reports

The counts below do not include pseudogenes.

Alignment of the annotated proteins to a set of high-quality proteins

The final set of annotated proteins was searched with BLASTP against the UniProtKB/Swiss-Prot curated proteins, using the annotated proteins as the query and the high-quality proteins as the target. Out of 19793 coding genes, 19217 genes had a protein with an alignment covering 50% or more of the query and 11782 had an alignment covering 95% or more of the query.

Definition of query and target coverage. The query coverage is the percentage of the annotated protein length that is included in the alignment. The target coverage is the percentage of the target length that is included in the alignment.

Below is a cumulative graph displaying the number of genes with alignments above a given query or target coverage threshold. For comparison, corresponding statistics for other organisms annotated by the NCBI eukaryotic annotation pipeline were added to the graph.

Query: annotated proteins
Target: UniProtKB/Swiss-Prot curated proteins

Masking of genomic sequence

Transcript and protein alignments are performed on the repeat-masked genome. Below are the percentages of genomic sequence masked by WindowMasker and RepeatMasker for each assembly. RepeatMasker results are only used for organisms for which a comprehensive repeat library is available.

For this annotation run, transcripts and proteins were aligned to the genome masked with WindowMasker only.
Assembly nameAssembly accession% Masked with RepeatMasker% Masked with WindowMasker
Python_molurus_bivittatus-5.0.2GCF_000186305.13.07%24.87%

Transcript and protein alignments

The annotation pipeline relies heavily on alignments of experimental evidence for gene prediction. Below are the sets of transcripts and proteins that were retrieved from Entrez, aligned to the genome by Splign or ProSplign and passed to Gnomon, NCBI's gene prediction software.

Depending on the other evidence available, long 454 reads (with average length above 250 nt) may be aligned as traditional evidence and reported in the Transcript alignments section or aligned with RNA-Seq reads and reported in the RNA-Seq alignments section.

Transcript alignments

RNA-Seq alignments

The following RNA-Seq reads from the Sequence Read Archive were also used for gene prediction:

  Hide alignments statistics, by sample (SAME, SAMN, SAMD, DRS)
  Show alignments statistics, by run (ERR, SRR, DRR)

Protein alignments

Comparison of the current and previous annotations

The annotation produced for this release (102) was compared to the annotation in the previous release (101) for each assembly annotated in both releases. Scores for current and previous gene and transcript features were calculated based on overlap in exon sequence and matches in exon boundaries. Pairs of current and previous features were categorized based on these scores, whether they are reciprocal best matches, and changes in attributes (gene biotype, completeness, etc.). If the assembly was updated between the two releases, alignments between the current and the previous assembly were used to match the current and previous gene and transcript features in mapped regions.

The table below summarizes the changes in the gene set for each assembly as a percent of the number of genes in the current annotation release, and provides links to the details of the comparison in tabular format and in a Genome Workbench project.

Python_molurus_bivittatus-5.0.2 (Current) to Python_molurus_bivittatus-5.0.2 (Previous)
Identical help7%
Minor changes help66%
Major changes help12%
New help14%
Deprecated help4%
Other help1%
Download the reporttabular, Genome Workbench

References