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bioperl
bioperl-live
Perl2013–2020
bioperl / bioperl-live

bioperl-live

Core BioPerl 1.x code

3Distinct people
4Mentions
0Explicit recommenders
324GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Core BioPerl 1.x code

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2013-05-05 09:35:36 UTC to 2020-05-13 11:03:05 UTC.

012013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC101
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101

What Hacker News says

4 sources
I wrote bioinformatics software a long time ago. Meaning that I remember reading the bioperl code back to read FASTA files around Y2K. Their technique is still in use, at https://github.com/bioperl/bioperl-live/blob/master/lib/Bio/... . The key point is they set the input record separator, like this: local $/ = "\n>"; This gets Perl to read each FASTA record as a single block, which they then post-process into title and sequence. Raku has a per-filehandle version, according to https://docs.raku.org/language/5to6-perlvar In principle, since it does more work closer to the machine, it should be faster. I haven't tested it.
In Reading DNA and Count Bases in Raku – Suman Khanal
Experiments aren't usually written in FORTRAN. The programmer is by far the slowest part of HPC. It often makes sense to use the language you're fastest at instead of the language that will run the fastest. It's very common for experiments to be written in languages not know for their performance (Java, Matlab, Perl, and Python for instance). For reference, here are some of the packages commonly used in experiments[1]: BLAS Fortran http://www.netlib.org/blas/#_software NCBI BLAST C++ ftp://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/ncbi-blast-2.2.30+-src.zip BFAST C http://sourceforge.net/projects/bfast/ BioPerl Perl https://github.com/bioperl/bioperl-live Bowtie C++, C http://sourceforge.net/p
Read the rest
rojects/bowtie-bio/files/bowtie/ Clustal C, C++ http://www.clustal.org/omega/#Download cp2k Fortran https://github.com/cp2k/cp2k Gromacs C https://github.com/gromacs/gromacs HTSeq Python https://pypi.python.org/pypi/HTSeq MUSCLE C++ http://www.drive5.com/muscle/downloads.htm MrBayes C http://sourceforge.net/p/mrbayes/code/HEAD/tree/ OpenFOAM C++ https://github.com/OpenFOAM/OpenFOAM-2.3.x SAMtools C https://github.com/samtools/samtools SNAP C http://korflab.ucdavis.edu/software.html fftw3 C https://github.com/FFTW/fftw3 [1]: I went down this list and picked some of the ones I remember using (been out of the HPC world for a couple years): https://portal.tacc.utexas.edu/software It'll be a bit skewed towards genomics.
In Evaluation of C, Go, and Rust in the HPC environment [pdf]
I'm a bit surprised at the implied superiority to the other Bio* projects. None of them started as a copy of BioPerl (and btw, it's "Biopython", not "BioPython"), and none of them are trying to implement all of the features of BioPerl. For that matter, the other projects implement features that BioPerl doesn't have. It's interesting that the example supports a comment in the FASTA record. I wonder why the author included it. I've never seen a comment used in the wild, but then again I haven't worked with FASTA files for some time. My experience was that nearly every tool would break if you give it a FASTA file with a comment. For example, the BioPerl FASTA parser is at https://github.com/bioperl/bioperl-live/blob/master/Bio/SeqI... , where you can see it doesn't support a comment. Since the chance of breakage is so high, my belief 10 year
Read the rest
s ago was that this original feature from Pearson is dead, and will never be revived.
In Bioinformatics and the joy of Perl6

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