<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Owner]]></title>
	<link>https://bioinformaticsonline.com/snippets/owner/neelam?offset=20</link>
	<atom:link href="https://bioinformaticsonline.com/snippets/owner/neelam?offset=20" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/43099/install-odgi-using-conda</guid>
	<pubDate>Thu, 24 Jun 2021 04:41:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/43099/install-odgi-using-conda</link>
	<title><![CDATA[Install odgi using conda !]]></title>
	<description><![CDATA[<code>conda install -c bioconda odgi 
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/anaconda3/envs/

  added / updated specs:
    - odgi


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    jemalloc-5.2.1             |       h2531618_5         1.0 MB
    odgi-0.6                   |   py37hfecc14a_1       236.6 MB  bioconda
    ------------------------------------------------------------
                                           Total:       237.6 MB

The following NEW packages will be INSTALLED:

  odgi               bioconda/linux-64::odgi-0.6-py37hfecc14a_1

The following packages will be UPDATED:

  jemalloc                       bioconda::jemalloc-4.5.0-0 --&gt; pkgs/main::jemalloc-5.2.1-h2531618_5


Proceed ([y]/n)? y


Downloading and Extracting Packages
odgi-0.6             | 236.6 MB  | ################################################################################################################################################################################### | 100% 
jemalloc-5.2.1       | 1.0 MB    | ################################################################################################################################################################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/43098/install-kat-using-conda</guid>
	<pubDate>Thu, 24 Jun 2021 04:31:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/43098/install-kat-using-conda</link>
	<title><![CDATA[Install kat using conda !]]></title>
	<description><![CDATA[<code>conda install -c bioconda kat 
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/anaconda3/envs/

  added / updated specs:
    - kat


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    boost-1.73.0               |  py37h06a4308_11          25 KB
    jellyfish-2.2.10           |       h6bb024c_1         393 KB  bioconda
    jemalloc-4.5.0             |                0         6.2 MB  bioconda
    kat-2.0.8                  |                0         7.5 MB  bioconda
    libboost-1.73.0            |      h3ff78a5_11        13.9 MB
    lz4-c-1.9.3                |       h2531618_0         186 KB
    py-boost-1.73.0            |  py37ha9443f7_11         204 KB
    zstd-1.4.9                 |       haebb681_0         480 KB
    ------------------------------------------------------------
                                           Total:        28.8 MB

The following NEW packages will be INSTALLED:

  boost              pkgs/main/linux-64::boost-1.73.0-py37h06a4308_11
  jellyfish          bioconda/linux-64::jellyfish-2.2.10-h6bb024c_1
  jemalloc           bioconda/linux-64::jemalloc-4.5.0-0
  kat                bioconda/linux-64::kat-2.0.8-0
  libboost           pkgs/main/linux-64::libboost-1.73.0-h3ff78a5_11
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.3-h2531618_0
  py-boost           pkgs/main/linux-64::py-boost-1.73.0-py37ha9443f7_11
  zstd               pkgs/main/linux-64::zstd-1.4.9-haebb681_0

The following packages will be UPDATED:

  libxslt            conda-forge::libxslt-1.1.33-h15afd5d_2 --&gt; pkgs/main::libxslt-1.1.34-hc22bd24_0

The following packages will be SUPERSEDED by a higher-priority channel:

  icu                      conda-forge::icu-68.1-h58526e2_0 --&gt; pkgs/main::icu-58.2-he6710b0_3
  libxml2            conda-forge::libxml2-2.9.12-h72842e0_0 --&gt; pkgs/main::libxml2-2.9.10-hb55368b_3


Proceed ([y]/n)? y


Downloading and Extracting Packages
libboost-1.73.0      | 13.9 MB   | ################################################################################################################################################################################### | 100% 
zstd-1.4.9           | 480 KB    | ################################################################################################################################################################################### | 100% 
lz4-c-1.9.3          | 186 KB    | ################################################################################################################################################################################### | 100% 
py-boost-1.73.0      | 204 KB    | ################################################################################################################################################################################### | 100% 
kat-2.0.8            | 7.5 MB    | ################################################################################################################################################################################### | 100% 
jellyfish-2.2.10     | 393 KB    | ################################################################################################################################################################################### | 100% 
jemalloc-4.5.0       | 6.2 MB    | ################################################################################################################################################################################### | 100% 
boost-1.73.0         | 25 KB     | ################################################################################################################################################################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/43097/install-megahit-using-conda</guid>
	<pubDate>Thu, 24 Jun 2021 04:28:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/43097/install-megahit-using-conda</link>
	<title><![CDATA[Install megahit using conda !]]></title>
	<description><![CDATA[<code>conda install -c bioconda megahit
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/anaconda3/envs/

  added / updated specs:
    - megahit


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    megahit-1.2.9              |       h2e03b76_1         2.9 MB  bioconda
    ------------------------------------------------------------
                                           Total:         2.9 MB

The following NEW packages will be INSTALLED:

  megahit            bioconda/linux-64::megahit-1.2.9-h2e03b76_1


Proceed ([y]/n)? y


Downloading and Extracting Packages
megahit-1.2.9        | 2.9 MB    | ################################################################################################################################################################################### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/43052/download-genome-using-ncbi-esearch-command-line</guid>
	<pubDate>Fri, 30 Apr 2021 00:31:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/43052/download-genome-using-ncbi-esearch-command-line</link>
	<title><![CDATA[Download genome using NCBI esearch command line !]]></title>
	<description><![CDATA[<code>#Download using command line &quot;NC_005956.1&quot; /  &quot;CP003784.1&quot;

esearch -db nucleotide -query &quot;NC_005956.1&quot; | efetch -format fasta &gt; seq1.fa
esearch -db nucleotide -query &quot;CP003784.1&quot; | efetch -format fasta &gt; seq2.fa

#fastANI for alignment free comparision
#conda install -c bioconda fastani

fastANI -q seq1.fa -r seq2.fa --visualize -o fastani.out

#Plot using sequences
Rscript plotSeq.R seq1.fa seq2.fa fastani.out.visual</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/43051/install-ncbi-entrez-direct-and-esearch-using-conda</guid>
	<pubDate>Fri, 30 Apr 2021 00:25:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/43051/install-ncbi-entrez-direct-and-esearch-using-conda</link>
	<title><![CDATA[Install NCBI entrez-direct and esearch using conda !]]></title>
	<description><![CDATA[<code>$ conda install -c bioconda entrez-direct
Collecting package metadata (current_repodata.json): done
Solving environment: done


==&gt; WARNING: A newer version of conda exists. &lt;==
  current version: 4.9.0
  latest version: 4.10.1

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: /home/urbe/anaconda3/envs/MetaENV

  added / updated specs:
    - entrez-direct


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    entrez-direct-13.9         | pl5262he881be0_2         5.2 MB  bioconda
    ------------------------------------------------------------
                                           Total:         5.2 MB

The following packages will be UPDATED:

  entrez-direct                        13.9-pl526h375a9b1_0 --&gt; 13.9-pl5262he881be0_2


Proceed ([y]/n)? y


Downloading and Extracting Packages
entrez-direct-13.9   | 5.2 MB    | ############################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/42944/install-htop-in-elementaryubuntu-os</guid>
	<pubDate>Wed, 10 Mar 2021 08:18:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/42944/install-htop-in-elementaryubuntu-os</link>
	<title><![CDATA[Install htop in elementary/Ubuntu OS !]]></title>
	<description><![CDATA[<code>neelam@neelam-Lenovo-ideapad-320-15ISK:~$ sudo apt-get install htop
Reading package lists... Done
Building dependency tree       
Reading state information... Done
The following packages were automatically installed and are no longer required:
  gir1.2-vte-2.91 libido3-0.1-0 libllvm6.0 libwayland-egl1-mesa
Use &#039;sudo apt autoremove&#039; to remove them.
The following NEW packages will be installed:
  htop
0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.
Need to get 80.0 kB of archives.
After this operation, 221 kB of additional disk space will be used.
Get:1 http://in.archive.ubuntu.com/ubuntu bionic/main amd64 htop amd64 2.1.0-3 [80.0 kB]
Fetched 80.0 kB in 0s (239 kB/s)
Selecting previously unselected package htop.
(Reading database ... 176684 files and directories currently installed.)
Preparing to unpack .../htop_2.1.0-3_amd64.deb ...
Unpacking htop (2.1.0-3) ...
Setting up htop (2.1.0-3) ...
Processing triggers for desktop-file-utils (0.23-1ubuntu3.18.04.2+elementary2~ubuntu5.0.1) ...
Processing triggers for bamfdaemon (0.5.3+18.04.20180207.2-0ubuntu1) ...
Rebuilding /usr/share/applications/bamf-2.index...
Processing triggers for man-db (2.8.3-2ubuntu0.1) ...
Processing triggers for gnome-menus (3.13.3-11ubuntu1.1) ...
Processing triggers for mime-support (3.60ubuntu1) ...</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/42920/perl-script-to-run-awk-inside-perl</guid>
	<pubDate>Sat, 27 Feb 2021 01:40:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/42920/perl-script-to-run-awk-inside-perl</link>
	<title><![CDATA[Perl script to run awk inside perl]]></title>
	<description><![CDATA[<code>#!/usr/local/bin/perl
eval &#039;exec /usr/local/bin/perl -S $0 ${1+&quot;$@&quot;}&#039;
if $running_under_some_shell;
# this emulates #! processing on NIH machines.
# (remove #! line above if indigestible)

eval &#039;$&#039;.$1.&#039;$2;&#039; while $ARGV[0] =~ /^([A-Za-z_0-9]+=)(.*)/ &amp;&amp; shift;
# process any FOO=bar switches
$, = &#039; &#039;; # set output field separator
$\ = &quot;\n&quot;; # set output record separator

while (&lt;&gt;) {
chomp; # strip record separator
@Fld = split(&#039; &#039;, $_, -1);
if ($awk) {
$Fld[(1)-1] = &#039;&#039;;
$Fld[(2)-1] = &#039;&#039;;
print join($,,@Fld);
}
print join($,,@Fld) if $f1 . . $txt;
}</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/42919/perl-ipcopen2-module</guid>
	<pubDate>Sat, 27 Feb 2021 01:29:04 -0600</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/42919/perl-ipcopen2-module</link>
	<title><![CDATA[Perl IPC::Open2 module]]></title>
	<description><![CDATA[<code>syntax: $output = open2(\*CHLD_OUT, \*CHLD_IN, &#039;command arg1 arg2&#039;);

It runs a process for both reading and writing and creates a pipe to both STDIN and STDOUT. It can be used in both ways:

$output = open2(my $out, my $in, &#039;command arg1 arg2&#039;);

OR without using the shell

$output = open2(my $out, my $in, &#039;command&#039;, &#039;arg1&#039;, &#039;arg2&#039;);

You can read about it more in the documentation: IPC::Open2.</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/42656/command-to-create-conda-environment</guid>
	<pubDate>Thu, 21 Jan 2021 04:39:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/42656/command-to-create-conda-environment</link>
	<title><![CDATA[Command to create conda environment !]]></title>
	<description><![CDATA[<code># using pip
pip install -r requirements.txt

# using Conda
conda create --name &lt;env_name&gt; --file requirements.txt

#Using yaml
conda env create -f environment.yml

#Listing env
conda env list

#Create env with python36
conda create -n myenv python=3.6</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/snippets/view/42193/picard-tools-command-to-get-some-insert-statistics</guid>
	<pubDate>Sun, 06 Sep 2020 10:23:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/snippets/view/42193/picard-tools-command-to-get-some-insert-statistics</link>
	<title><![CDATA[picard tools command to get some insert statistics]]></title>
	<description><![CDATA[<code>#picard tools to get some insert statistics to see whether our reads seem to be in the correct place

#module load picard/2.0.1
java -Xmx16g -XX:PermSize=8g -jar $PICARD_HOME/picard.jar CollectInsertSizeMetrics MINIMUM_PCT=0 HISTOGRAM_FILE=&lt;assembly name&gt;.pdf  INPUT=&lt;sorted-bam-filename&gt;  OUTPUT=&lt;assembly name&gt;.sorted.collectInseSize HISTOGRAM_WIDTH=500</code>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

</channel>
</rss>